Triple

T14569839
Position Surface form Disambiguated ID Type / Status
Subject TERYT E341881 entity
Predicate hasComponentRegister P4184 FINISHED
Object TERC
TERC is a component register within Poland’s national territorial land apportionment system, cataloging administrative units such as voivodeships, counties, and communes.
E1106900 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TERC | Statement: [TERYT, hasComponentRegister, TERC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TERC
Context triple: [TERYT, hasComponentRegister, TERC]
  • A. TRE
    TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
  • B. TRE
    TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
  • C. TEC
    TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
  • D. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • E. TEC
    TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TERC
Triple: [TERYT, hasComponentRegister, TERC]
Generated description
TERC is a component register within Poland’s national territorial land apportionment system, cataloging administrative units such as voivodeships, counties, and communes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TERC
Target entity description: TERC is a component register within Poland’s national territorial land apportionment system, cataloging administrative units such as voivodeships, counties, and communes.
  • A. TRE
    TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
  • B. TRE
    TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
  • C. TEC
    TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
  • D. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • E. TEC
    TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasComponentRegister
Context triple: [TERYT, hasComponentRegister, TERC]
  • A. hasRegister chosen
    Indicates that one entity possesses, contains, or is associated with a specific register (such as a record, log, or hardware register).
  • B. hasComponentModel
    Indicates that an entity includes or is associated with a specific component model as part of its structure or configuration.
  • C. hasComponentProgram
    Indicates that one program includes or is composed of another program as a component or sub-program.
  • D. hasServerComponent
    Indicates that an entity includes, depends on, or is associated with a particular server-side component.
  • E. hasRegisterSystem
    Indicates that an entity uses or is associated with a particular register system (e.g., a system for recording, tracking, or registering items, events, or participants).
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac858108190b7c90130f18b0ddb completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c3678048190a23b509e963c1ade completed May 8, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d609684819090a9c3f2304f4a6a completed May 8, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69de5c57489c8190b57917be1dba6ae6 completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:23 a.m.