Triple

T12908822
Position Surface form Disambiguated ID Type / Status
Subject Jiří Hájek E308797 entity
Predicate placeOfBirth P1 FINISHED
Object Krhanice
Krhanice is a small municipality and village in the Central Bohemian Region of the Czech Republic.
E1010468 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: Krhanice | Statement: [Jiří Hájek, placeOfBirth, Krhanice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krhanice
Context triple: [Jiří Hájek, placeOfBirth, Krhanice]
  • A. Kšice
    Kšice is a small municipality and village in the Plzeň Region of the Czech Republic.
  • B. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • C. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • D. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • E. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • 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: Krhanice
Triple: [Jiří Hájek, placeOfBirth, Krhanice]
Generated description
Krhanice is a small municipality and village in the Central Bohemian Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krhanice
Target entity description: Krhanice is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • A. Kšice
    Kšice is a small municipality and village in the Plzeň Region of the Czech Republic.
  • B. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • C. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • D. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • E. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5c133c81908b52fc18262c819d completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:41 p.m.