Triple

T19784706
Position Surface form Disambiguated ID Type / Status
Subject Ner E475229 entity
Predicate describedAs P22 FINISHED
Object Benjamite 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: Benjamite | Statement: [Ner, describedAs, Benjamite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamite
Context triple: [Ner, describedAs, Benjamite]
  • A. Benjaminite chosen
    A Benjaminite is a member of the Israelite tribe of Benjamin, one of the twelve tribes of Israel traditionally descended from Jacob’s youngest son.
  • B. Binyamina
    Binyamina is a town in northern Israel known for its vineyards, wineries, and role as a regional transportation hub.
  • C. Judah
    Judah was an ancient Israelite kingdom in the southern Levant, centered around Jerusalem and prominent in biblical history.
  • D. Yehuda
    Yehuda is a Hebrew given name traditionally associated with the biblical tribe of Judah and commonly used in Jewish communities.
  • E. Naftali
    Naftali is a Hebrew given name historically borne by notable Jewish figures, including poets and religious leaders.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538715b8819080c6930e7d16ab58 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.