Triple

T10448386
Position Surface form Disambiguated ID Type / Status
Subject Baharna E246351 entity
Predicate primaryRegion P1103 FINISHED
Object Al-Hasa E275768 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: Al-Hasa | Statement: [Baharna, primaryRegion, Al-Hasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Hasa
Context triple: [Baharna, primaryRegion, Al-Hasa]
  • A. Al-Ahsa chosen
    Al-Ahsa is a historic oasis region in eastern Saudi Arabia known for its extensive date palm groves and status as one of the world's largest natural oases.
  • B. Al Bahah Region
    Al Bahah Region is a mountainous administrative province in southwestern Saudi Arabia known for its cool climate, forests, and traditional villages.
  • C. Riyadh Province
    Riyadh Province is a central administrative region of Saudi Arabia that includes the national capital, Riyadh, and serves as a major political and economic hub of the country.
  • D. Al Bahah
    Al Bahah is a city in southwestern Saudi Arabia known for its mild climate, forests, and mountainous landscapes that make it a popular domestic tourist destination.
  • E. Qatif region
    The Qatif region is a historic, oil-rich coastal area in eastern Saudi Arabia along the Persian Gulf, known for its Shia Muslim communities and ancient trading heritage.
  • 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_69d4fe083cd881909d2d8ad75d1d94cb completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74602a7ec8190980e5e6a80aa1235 completed May 3, 2026, 12:56 p.m.
Created at: April 6, 2026, 12:16 p.m.