Triple

T18228950
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Island E436492 entity
Predicate hasCity P316 FINISHED
Object Riffa 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: Riffa | Statement: [Bahrain Island, hasCity, Riffa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riffa
Context triple: [Bahrain Island, hasCity, Riffa]
  • A. Riffa chosen
    Riffa is one of the largest and most prominent cities in Bahrain, known for its residential areas, historic sites, and commercial centers.
  • B. Brunei-Kedayan
    Brunei-Kedayan is a Malayic language variety spoken primarily by the Kedayan ethnic group in Brunei and surrounding regions of Borneo.
  • C. Port Khalid
    Port Khalid is a major seaport in the Emirate of Sharjah in the United Arab Emirates, serving as a key hub for regional trade and maritime logistics.
  • D. Hawalli
    Hawalli is a densely populated urban district in Kuwait known for its residential neighborhoods, shopping centers, and vibrant expatriate community.
  • E. Bare’e
    Bare’e is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b1b2108190a5585bbfaf2d295b completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.