Triple

T14200489
Position Surface form Disambiguated ID Type / Status
Subject Al Asimah Governorate E351951 entity
Predicate includes P1393 FINISHED
Object Granada (Kuwait) E76797 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: Granada (Kuwait) | Statement: [Al Asimah Governorate, includes, Granada (Kuwait)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granada (Kuwait)
Context triple: [Al Asimah Governorate, includes, Granada (Kuwait)]
  • A. 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.
  • B. Kuwait Governorate of Al Asimah chosen
    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.
  • C. Kuwait City
    Kuwait City is the capital and largest city of Kuwait, serving as a major political, economic, and cultural center on the Persian Gulf.
  • D. Al Khor
    Al Khor is a coastal city in northeastern Qatar known for hosting matches at Al Bayt Stadium during the 2022 FIFA World Cup.
  • E. Al Rayyan
    Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194f13688190af7ef5ceb92a73ff completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.