Triple

T4384465
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Grand Prix E99207 entity
Predicate locatedInCity P40 FINISHED
Object Sakhir E416314 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: Sakhir | Statement: [Bahrain Grand Prix, locatedInCity, Sakhir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakhir
Context triple: [Bahrain Grand Prix, locatedInCity, Sakhir]
  • A. Sakhir chosen
    Sakhir is a desert area in Bahrain known for hosting major national institutions and events, including universities and the Bahrain International Circuit.
  • B. Al-Doha
    Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
  • C. Kalba
    Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
  • D. Al Rayyan
    Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
  • E. Al Ain
    Al Ain is a historic oasis city in the Emirate of Abu Dhabi in the United Arab Emirates, known for its date palm plantations, forts, and role as a cultural and agricultural center.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35263970c8190904ee20d81715833 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e523cc5c8190b9884f83d433982c completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:19 p.m.