Triple

T12569803
Position Surface form Disambiguated ID Type / Status
Subject Domažlice District E295570 entity
Predicate hasMunicipality P847 FINISHED
Object Tlumačov
Tlumačov is a small municipality and village in the Plzeň Region of the Czech Republic.
E989592 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: Tlumačov | Statement: [Domažlice District, hasMunicipality, Tlumačov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tlumačov
Context triple: [Domažlice District, hasMunicipality, Tlumačov]
  • A. Tălmaciu
    Tălmaciu is a small town in central Romania, located in Sibiu County in the historical region of Transylvania.
  • B. Tále
    Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
  • C. Znamianka
    Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • D. Tolkmicko
    Tolkmicko is a small town in northern Poland situated on the Vistula Lagoon, known for its historic architecture and proximity to natural landscapes.
  • E. Třemešné
    Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
  • 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: Tlumačov
Triple: [Domažlice District, hasMunicipality, Tlumačov]
Generated description
Tlumačov 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: Tlumačov
Target entity description: Tlumačov is a small municipality and village in the Plzeň Region of the Czech Republic.
  • A. Tălmaciu
    Tălmaciu is a small town in central Romania, located in Sibiu County in the historical region of Transylvania.
  • B. Tále
    Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
  • C. Znamianka
    Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • D. Tolkmicko
    Tolkmicko is a small town in northern Poland situated on the Vistula Lagoon, known for its historic architecture and proximity to natural landscapes.
  • E. Třemešné
    Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a422c88190a22cc34d2eac00ce completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559336088190874123c06c86630e completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a86ff48190bd3debd30e11df80 completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 11:50 p.m.