Triple

T6895211
Position Surface form Disambiguated ID Type / Status
Subject Sde Boker E159154 entity
Predicate locatedNear P294 FINISHED
Object Beersheba E45567 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: Beersheba | Statement: [Sde Boker, locatedNear, Beersheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beersheba
Context triple: [Sde Boker, locatedNear, Beersheba]
  • A. Beersheba chosen
    Beersheba is a major city in southern Israel, often regarded as the "Capital of the Negev" and known for its historical significance and rapid modern development.
  • B. Beit She'an
    Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
  • C. Isfiya
    Isfiya is a Druze-majority village and local council located on Mount Carmel in northern Israel.
  • D. Sha'ar Yafo
    Sha'ar Yafo is the Hebrew name for Jaffa Gate, one of the main historic entrances to Jerusalem’s Old City.
  • E. Yokneam Illit
    Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d933032c8190997d67a15897619b completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748db2bd48190bb26f60c58ec8229 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:24 p.m.