Triple

T10441366
Position Surface form Disambiguated ID Type / Status
Subject بئر السبع E246176 entity
Predicate demographicsGroup P2263 FINISHED
Object بدو النقب E649887 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: بدو النقب | Statement: [بئر السبع, demographicsGroup, بدو النقب]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: بدو النقب
Context triple: [بئر السبع, demographicsGroup, بدو النقب]
  • A. Wilderness of Beersheba
    The Wilderness of Beersheba is a desert region in the southern part of ancient Israel, associated in the Bible with Hagar and Ishmael’s wandering and divine encounter.
  • B. Neshnabé
    Neshnabé is the self-designation used by the Potawatomi people to refer to themselves in their own language.
  • C. Nabulsi
    Nabulsi refers to a person or thing originating from the city of Nablus in the West Bank, often associated with its distinctive cheese and traditional soap.
  • D. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • E. נגב chosen
    נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.