Triple

T20961488
Position Surface form Disambiguated ID Type / Status
Subject Al Farwaniyah Governorate E516256 entity
Predicate partOf P40 FINISHED
Object Kuwait City metropolitan area NE NERFINISHED

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: Kuwait City metropolitan area | Statement: [Al Farwaniyah Governorate, partOf, Kuwait City metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuwait City metropolitan area
Context triple: [Al Farwaniyah Governorate, partOf, Kuwait City metropolitan area]
  • A. Kuwait City chosen
    Kuwait City is the capital and largest city of Kuwait, serving as a major political, economic, and cultural center on the Persian Gulf.
  • B. Kuwaiti city of Al Wafra
    The Kuwaiti city of Al Wafra is a southern agricultural and residential area in Kuwait, known for its farms and proximity to the Saudi border.
  • C. Kuwait Governorate of Al Asimah
    Kuwait Governorate of Al Asimah is the central administrative region of Kuwait that encompasses the nation’s capital and serves as its political and economic hub.
  • D. المسد
    المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
  • E. Sharq, Kuwait City
    Sharq, Kuwait City is a prominent commercial and waterfront district in Kuwait’s capital, known for its modern malls, business centers, and marina developments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6fd1d48190ad0ec7eb72f84889 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.