Triple

T584872
Position Surface form Disambiguated ID Type / Status
Subject Arabian Sea E15136 entity
Predicate hasMajorPort P942 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: [Arabian Sea, hasMajorPort, Muscat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muscat
Context triple: [Arabian Sea, hasMajorPort, Muscat]
  • A. 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.
  • B. 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.
  • C. Aden
    Aden is a strategic port city in Yemen located on the Gulf of Aden, historically significant as a major maritime hub and former British colonial stronghold.
  • D. Manama
    Manama is the capital and largest city of Bahrain, serving as a key financial and commercial hub in the Persian Gulf region.
  • E. Sharjah
    Sharjah is a major cultural and economic center in the United Arab Emirates, known for its rich heritage, museums, and role as a hub of Islamic arts and education.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9874c88190bd1e08d4689ea124 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c389eb708190911de8a28e55ab7f completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:33 p.m.