Triple

T5746057
Position Surface form Disambiguated ID Type / Status
Subject Port of İzmit E126734 entity
Predicate UNLocode P1800 FINISHED
Object TRIZT
TRIZT is the UN/LOCODE identifier for the Port of İzmit, a significant maritime and industrial port area in the Gulf of İzmit, Turkey.
 E543941 NE FINISHED

How this triple was built (4 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: TRIZT | Statement: [Port of İzmit, UNLocode, TRIZT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRIZT
Context triple: [Port of İzmit, UNLocode, TRIZT]
  • A. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • B. LTRI
    LTRI is a Japanese institution responsible for the professional training and research development of legal professionals, particularly judges and prosecutors.
  • C. TriG
    TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
  • D. TRC
    TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
  • E. TRC
    TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
  • 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: TRIZT
Triple: [Port of İzmit, UNLocode, TRIZT]
Generated description
TRIZT is the UN/LOCODE identifier for the Port of İzmit, a significant maritime and industrial port area in the Gulf of İzmit, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRIZT
Target entity description: TRIZT is the UN/LOCODE identifier for the Port of İzmit, a significant maritime and industrial port area in the Gulf of İzmit, Turkey.
  • A. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • B. LTRI
    LTRI is a Japanese institution responsible for the professional training and research development of legal professionals, particularly judges and prosecutors.
  • C. TriG
    TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
  • D. TRC
    TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
  • E. TRC
    TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
  • F. None of above. chosen

Provenance (5 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025896378819085f0bd43bf34f497 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e2c54c0819087ab79ae855b9677 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08cc5c48481909c1ac21d586b3263 completed March 23, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_69c08d42cac88190b6cd454e8c31a4ef completed March 23, 2026, 12:45 a.m.
Created at: March 22, 2026, 3:48 p.m.