Triple

T14663107
Position Surface form Disambiguated ID Type / Status
Subject Basra Governorate E344294 entity
Predicate governorateNumberInIraq P115248 FINISHED
Object 1 of 19 LITERAL 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: 1 of 19 | Statement: [Basra Governorate, governorateNumberInIraq, 1 of 19]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governorateNumberInIraq
Context triple: [Basra Governorate, governorateNumberInIraq, 1 of 19]
  • A. hasNumberOfGovernorates
    Indicates the total count of governorates associated with or contained within a given entity.
  • B. servedAsGovernorNumber
    Indicates the ordinal position in which an individual served as governor (e.g., first, second, third).
  • C. governorateOf
    Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
  • D. stateOfGovernorship
    Indicates the relationship in which an individual holds or held the official position and authority of governor over a specific jurisdiction.
  • E. includesGovernorate
    Indicates that one administrative region or entity contains or encompasses a governorate within its boundaries.
  • F. None of above. chosen

Provenance (4 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ae5ac81908cc69891f280e5f7 completed April 14, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69de6576f0208190aa94d995e797ac38 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:27 a.m.