Triple

T3758816
Position Surface form Disambiguated ID Type / Status
Subject Arabia Standard Time E82112 entity
Predicate observedInCountry P3248 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: [Arabia Standard Time, observedInCountry, Manama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manama
Context triple: [Arabia Standard Time, observedInCountry, 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc20b20819095fedf803aadc53a completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5133ba48190a18ea170e3b9e1cd completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.