Triple

T10180050
Position Surface form Disambiguated ID Type / Status
Subject Israel Defense Forces E235959 entity
Predicate trainingBase P11445 FINISHED
Object Bahad 1 E290763 NE FINISHED

How this triple was built (2 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: Bahad 1 | Statement: [Israel Defense Forces, trainingBase, Bahad 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahad 1
Context triple: [Israel Defense Forces, trainingBase, Bahad 1]
  • A. Bahad 1 chosen
    Bahad 1 is the Israel Defense Forces’ primary officers’ training school, responsible for preparing and commissioning new IDF officers.
  • B. Bhadar
    Bhadar is a river in the Saurashtra region of Gujarat, India, known for supporting irrigation and local ecosystems along its course.
  • C. Beng ü Bade
    Beng ü Bade is a celebrated allegorical poem by the 16th-century Azerbaijani poet Fuzuli, known for its rich mystical and philosophical themes.
  • D. Baade H
    Baade H is a small lunar impact crater that forms one of the satellite craters surrounding the larger Baade crater on the Moon’s surface.
  • E. Bisher Bashi
    Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301373a008190b8d39a8db4167e4f completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.