Triple

T2334313
Position Surface form Disambiguated ID Type / Status
Subject Najd E44274 entity
Predicate borders P224 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: [Najd, borders, Al-Hasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Hasa
Context triple: [Najd, borders, 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. 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.
  • E. Asir region
    The Asir region is a mountainous, relatively lush and temperate area in southwestern Saudi Arabia known for its terraced agriculture, distinctive architecture, and cultural 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb56c2e081909168c0fef26bff44 completed March 13, 2026, 7:23 a.m.
Created at: March 4, 2026, 7:51 p.m.