Triple

T10441340
Position Surface form Disambiguated ID Type / Status
Subject بئر السبع E246176 entity
Predicate locatedIn P40 FINISHED
Object منطقة 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: منطقة النقب | Statement: [بئر السبع, locatedIn, منطقة النقب]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: منطقة النقب
Context triple: [بئر السبع, locatedIn, منطقة النقب]
  • A. נגב chosen
    נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
  • B. Shomron
    Shomron is the Hebrew name for Samaria, the ancient biblical region and former capital of the northern Kingdom of Israel.
  • C. Beer-sheba area
    The Beer-sheba area is a biblical region in the southern Levant, centered around the ancient city of Beersheba and associated with early Israelite settlement and tribal territories.
  • D. Ayalon Valley
    Ayalon Valley is a historically significant valley in central Israel, known as a strategic route and the site of numerous ancient battles.
  • E. Gush Dan
    Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
  • 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.