Triple

T17652208
Position Surface form Disambiguated ID Type / Status
Subject OBBI E429521 entity
Predicate cityServed P82 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: [OBBI, cityServed, Muharraq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muharraq
Context triple: [OBBI, cityServed, 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. 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.
  • D. Muharraq Governorate chosen
    Muharraq Governorate is one of Bahrain’s main administrative regions, encompassing the historic city of Muharraq and its surrounding islands northeast of the capital.
  • E. Qatif
    Qatif is a historic coastal city and oasis region in Saudi Arabia’s Eastern Province, known for its fishing, agriculture, and oil-related activities along the Persian Gulf.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3e0ae481908382570f802d8144 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.