Triple

T9107345
Position Surface form Disambiguated ID Type / Status
Subject Hofuf E218509 entity
Predicate locatedIn P40 FINISHED
Object Al-Ahsa 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-Ahsa | Statement: [Hofuf, locatedIn, Al-Ahsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Ahsa
Context triple: [Hofuf, locatedIn, Al-Ahsa]
  • 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-Kharj
    Al-Kharj is a city in central Saudi Arabia, southeast of Riyadh, known for its agricultural production and growing urban development.
  • C. 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.
  • D. Dhahran
    Dhahran is a major city in Saudi Arabia’s Eastern Province known for its role as a center of the country’s oil industry and the headquarters of Saudi Aramco.
  • E. Jubail
    Jubail is a major industrial and port city on Saudi Arabia’s eastern coast, known for its large petrochemical complexes and strategic maritime facilities.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca573da0081909f4afcdb3ac99c53 completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf002c081909bb82bb765bbf4b1 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:16 p.m.