Triple

T14944494
Position Surface form Disambiguated ID Type / Status
Subject Rawda E372619 entity
Predicate governorateSeat P48989 FINISHED
Object Kuwait City E13474 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: Kuwait City | Statement: [Rawda, governorateSeat, Kuwait City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuwait City
Context triple: [Rawda, governorateSeat, Kuwait City]
  • 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. Doha
    Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
  • C. 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.
  • D. Al Rayyan
    Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
  • E. 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.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e0ed148190bd357be922fe8319 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 2:39 a.m.