Triple

T17161776
Position Surface form Disambiguated ID Type / Status
Subject Battle of Bamut E416497 entity
Predicate location P40 FINISHED
Object Bamut
Bamut is a settlement in the Chechen Republic of Russia known for being a major battleground during the First Chechen War.
E1254880 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: Bamut | Statement: [Battle of Bamut, location, Bamut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamut
Context triple: [Battle of Bamut, location, Bamut]
  • A. Harinas
    Harinas is a rural settlement located within Syangja District in the Gandaki Province of central Nepal.
  • B. Biga
    Biga is a town and district in Turkey’s Çanakkale Province, known for its agricultural economy and location near the Marmara Sea.
  • C. Teiglin
    Teiglin is a river in J.R.R. Tolkien’s legendarium, flowing through the region of Beleriand in Middle-earth.
  • D. Kakkalos
    Kakkalos is a Greek surname most notably associated with Christos Kakkalos, the first recorded climber to reach the summit of Mount Olympus.
  • E. Mehunaise
    Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
  • 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: Bamut
Triple: [Battle of Bamut, location, Bamut]
Generated description
Bamut is a settlement in the Chechen Republic of Russia known for being a major battleground during the First Chechen War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bamut
Target entity description: Bamut is a settlement in the Chechen Republic of Russia known for being a major battleground during the First Chechen War.
  • A. Harinas
    Harinas is a rural settlement located within Syangja District in the Gandaki Province of central Nepal.
  • B. Biga
    Biga is a town and district in Turkey’s Çanakkale Province, known for its agricultural economy and location near the Marmara Sea.
  • C. Teiglin
    Teiglin is a river in J.R.R. Tolkien’s legendarium, flowing through the region of Beleriand in Middle-earth.
  • D. Kakkalos
    Kakkalos is a Greek surname most notably associated with Christos Kakkalos, the first recorded climber to reach the summit of Mount Olympus.
  • E. Mehunaise
    Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91258648190a40396067ba5ecd3 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148376bc081908372366203a27fa8 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014b5691a881908fdad49f7dadc76c completed May 11, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_6a014bbc921081909c39cd6d11400b56 completed May 11, 2026, 3:23 a.m.
Created at: April 10, 2026, 5:37 a.m.