Triple

T1285899
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Defence Force E27432 entity
Predicate headquartersLocation P62 FINISHED
Object Riffa E102551 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: Riffa | Statement: [Bahrain Defence Force, headquartersLocation, Riffa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riffa
Context triple: [Bahrain Defence Force, headquartersLocation, 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. Hawalli
    Hawalli is a densely populated urban district in Kuwait known for its residential neighborhoods, shopping centers, and vibrant expatriate community.
  • C. Koror
    Koror is the main commercial and population center of Palau, located on Koror Island in the western Pacific Ocean.
  • D. Bandar Seri Begawan
    Bandar Seri Begawan is the capital and largest city of Brunei, known for its opulent mosques, stilt villages, and role as the country's political and cultural center on the island of Borneo.
  • E. Brunei Darussalam
    Brunei Darussalam is a small, wealthy sultanate on the island of Borneo in Southeast Asia, known for its vast oil and gas reserves and absolute monarchy.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b85eb48190a8b61dc397fa6390 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae45da48190832dd8d74fdb217a completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:51 p.m.