Triple

T16771714
Position Surface form Disambiguated ID Type / Status
Subject Muscat Governorate E407612 entity
Predicate hasCity P316 FINISHED
Object Al Amarat E1232664 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: Al Amarat | Statement: [Muscat Governorate, hasCity, Al Amarat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Amarat
Context triple: [Muscat Governorate, hasCity, Al Amarat]
  • A. Al Amarat chosen
    Al Amarat is a rapidly developing residential and administrative town in northeastern Oman, situated inland from Muscat and known for its growing urban infrastructure and surrounding rocky hills.
  • B. Al Markh
    Al Markh is a village in Bahrain located within the country's Northern Governorate.
  • C. Shefa-'Amr
    Shefa-'Amr is a predominantly Arab city in northern Israel, known for its mixed Muslim, Christian, and Druze population and its location near Haifa in the Galilee region.
  • D. Al Burhama
    Al Burhama is a residential and commercial district in Bahrain located within the country's Northern Governorate.
  • E. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b036ff788190bd9f166c3f127818 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafa19888190bb7f96591f363867 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.