Triple

T12042188
Position Surface form Disambiguated ID Type / Status
Subject Tachov District E286688 entity
Predicate contains P35 FINISHED
Object Třemešné
Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
E972561 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: Třemešné | Statement: [Tachov District, contains, Třemešné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Třemešné
Context triple: [Tachov District, contains, Třemešné]
  • A. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • B. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • C. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • D. Podyjí
    Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
  • E. Litavka
    Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
  • 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: Třemešné
Triple: [Tachov District, contains, Třemešné]
Generated description
Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Třemešné
Target entity description: Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
  • A. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • B. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • C. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • D. Podyjí
    Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
  • E. Litavka
    Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a613054819082f7900a6ba8fbf8 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f60d8456d881908b5647b77fc53780 completed May 2, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60e2c52b0819094c8e67286235400 completed May 2, 2026, 2:46 p.m.
Created at: April 8, 2026, 9:47 p.m.