Triple

T6482119
Position Surface form Disambiguated ID Type / Status
Subject Royal Guard (Bahrain) E146418 entity
Predicate operatesIn P82 FINISHED
Object Manama E16114 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: Manama | Statement: [Royal Guard (Bahrain), operatesIn, Manama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manama
Context triple: [Royal Guard (Bahrain), operatesIn, Manama]
  • A. Manama
    Manama is a small inland exclave of the Emirate of Ajman in the United Arab Emirates, known for its agricultural land and scattered settlements.
  • B. Manama chosen
    Manama is the capital and largest city of Bahrain, serving as a key financial and commercial hub in the Persian Gulf region.
  • C. Muscat
    Muscat is the capital and largest city of Oman, known for its historic port, white-washed architecture, and strategic location on the Gulf of Oman.
  • D. Muscat
    Muscat is a highly aromatic family of grape varieties known for producing sweet, floral, and musky wines in many wine regions around the world.
  • E. Salalah
    Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6b2e9881908b715573e7ba7458 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fd4fd408190ac7505e5b562cd73 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:51 p.m.