Triple

T22271463
Position Surface form Disambiguated ID Type / Status
Subject Al-Muharraq SC (basketball) E550487 entity
Predicate homeCity P263 FINISHED
Object Muharraq NE NERFINISHED

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: Muharraq | Statement: [Al-Muharraq SC (basketball), homeCity, Muharraq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muharraq
Context triple: [Al-Muharraq SC (basketball), homeCity, Muharraq]
  • A. Diyar Al Muharraq
    Diyar Al Muharraq is a large master-planned waterfront city development in Bahrain featuring residential, commercial, and leisure districts built on reclaimed land.
  • B. Al Khuwair
    Al Khuwair is a prominent commercial and residential district in Muscat, Oman, known for its offices, shops, hotels, and easy access to major city roads.
  • C. Muharraq city chosen
    Muharraq city is a historic urban center in Bahrain, known as the country’s former capital and for its traditional architecture and cultural heritage.
  • D. Al Ghaydah
    Al Ghaydah is a coastal city in eastern Yemen that serves as the administrative and commercial center of the Mahra Governorate near the border with Oman.
  • E. Al-Wafra
    Al-Wafra is an agricultural town in southern Kuwait known for its extensive farms and greenhouses that supply much of the country’s fresh produce.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141c056cc819088dae6f2b9a1d526 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:40 p.m.