Triple

T10658971
Position Surface form Disambiguated ID Type / Status
Subject Ayat Al-Qurmezi E251172 entity
Predicate placeOfActivity P1527 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: [Ayat Al-Qurmezi, placeOfActivity, Manama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manama
Context triple: [Ayat Al-Qurmezi, placeOfActivity, Manama]
  • A. Manama chosen
    Manama is the capital and largest city of Bahrain, serving as a key financial and commercial hub in the Persian Gulf region.
  • B. 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.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e01643a88190abc7c16fd0f85e53 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a8375bc8190a79c09ba2626ce50 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:07 p.m.