Triple

T16291360
Position Surface form Disambiguated ID Type / Status
Subject Oman Airports Management Company E395529 entity
Predicate headquartersLocation P62 FINISHED
Object Muscat E15312 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: Muscat | Statement: [Oman Airports Management Company, headquartersLocation, Muscat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muscat
Context triple: [Oman Airports Management Company, headquartersLocation, Muscat]
  • A. 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.
  • B. Muscat chosen
    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.
  • C. 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.
  • D. Ash Shihr
    Ash Shihr is a coastal town in eastern Yemen historically known as a key port and commercial center in the Hadhramaut region.
  • E. Sanaʽa
    Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2491821d0819086cffdd7551ba85a completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4ab62881909c311bdc44068dc4 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:05 a.m.