Triple

T11786948
Position Surface form Disambiguated ID Type / Status
Subject Dhofar E280292 entity
Predicate majorCity P316 FINISHED
Object Mirbat E97305 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: Mirbat | Statement: [Dhofar, majorCity, Mirbat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirbat
Context triple: [Dhofar, majorCity, Mirbat]
  • A. 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.
  • B. 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.
  • C. Salalah chosen
    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. Muscat Governorate
    Muscat Governorate is a coastal administrative region of Oman that includes the nation’s capital city, Muscat, and serves as its political and economic center.
  • E. Safaniyah
    Safaniyah is a massive offshore oil field in the Persian Gulf, recognized as one of the largest of its kind in the world and a key asset of Saudi Arabia’s petroleum industry.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166c735008190a73dd74dbcddd182 completed April 29, 2026, 2:02 a.m.
Created at: April 8, 2026, 9:42 p.m.