Triple

T19076126
Position Surface form Disambiguated ID Type / Status
Subject Judge of Israel E466906 entity
Predicate notableExample P1503 FINISHED
Object Ibzan NE NERFINISHED

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: Ibzan | Statement: [Judge of Israel, notableExample, Ibzan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibzan
Context triple: [Judge of Israel, notableExample, Ibzan]
  • A. Ibzan chosen
    Ibzan is a minor biblical judge of Israel mentioned in the Book of Judges, known for his large family and brief period of leadership.
  • B. Žepa
    Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
  • C. Gusar
    Gusar is a mountainous town and popular tourist destination in northeastern Azerbaijan, known as a gateway to the Greater Caucasus and nearby ski resorts.
  • D. Balkar
    Balkar is a Turkic language spoken primarily by the Balkar people in the North Caucasus region of Russia.
  • E. Bavanište
    Bavanište is a village in the South Banat District of Serbia, situated within the autonomous province of Vojvodina.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e49c7c8190b6ce7b918086b23c completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.