Triple

T25722412
Position Surface form Disambiguated ID Type / Status
Subject Beitar Illit E645026 entity
Predicate nearbyPalestinianArea P88901 FINISHED
Object villages in the Bethlehem Governorate LITERAL 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: villages in the Bethlehem Governorate | Statement: [Beitar Illit, nearbyPalestinianArea, villages in the Bethlehem Governorate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyPalestinianArea
Context triple: [Beitar Illit, nearbyPalestinianArea, villages in the Bethlehem Governorate]
  • A. nearbyLocalityWestBank
    Indicates that one locality is geographically near another locality located in the West Bank region.
  • B. nearbyIsraeliSettlement
    Indicates that one entity is located close in distance to an Israeli settlement.
  • C. hasNearbyArabLocality chosen
    Indicates that one entity has an Arab locality situated in close geographic proximity to it.
  • D. regionOnWestBank
    Indicates that one region is located on the western bank of another geographic feature, such as a river or body of water.
  • E. municipalityOnWestBank
    Indicates that a municipality is located on the western bank of a specified geographic feature, such as a river or body of water.
  • F. None of above.

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_69e77e8476fc8190bd5e9d05b89fad0a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6978fe97081908fe568091ad9b159 completed May 3, 2026, 12:32 a.m.
PD Predicate disambiguation batch_69f69661e6ec8190948251c7516a32ad completed May 3, 2026, 12:27 a.m.
Created at: April 21, 2026, 10:04 p.m.