Triple

T31696901
Position Surface form Disambiguated ID Type / Status
Subject Nokdim E808940 entity
Predicate nearPalestinianLocalities P88901 FINISHED
Object Arab villages in Bethlehem area 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: Arab villages in Bethlehem area | Statement: [Nokdim, nearPalestinianLocalities, Arab villages in Bethlehem area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearPalestinianLocalities
Context triple: [Nokdim, nearPalestinianLocalities, Arab villages in Bethlehem area]
  • 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. municipalityOnWestBank
    Indicates that a municipality is located on the western bank of a specified geographic feature, such as a river or body of water.
  • E. cityOnWestBank
    Indicates that a city is located on the western bank of a river or other significant 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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:10 p.m.