Triple

T4131997
Position Surface form Disambiguated ID Type / Status
Subject UNMEER E85061 entity
Predicate abbreviation P43 FINISHED
Object UNMEER E85061 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: UNMEER | Statement: [UNMEER, abbreviation, UNMEER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNMEER
Context triple: [UNMEER, abbreviation, UNMEER]
  • A. UNMEER chosen
    UNMEER (United Nations Mission for Ebola Emergency Response) was a UN emergency health mission created to coordinate and accelerate international efforts to contain and end the West Africa Ebola outbreak.
  • B. Mesaieed
    Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
  • C. Umay
    Umay is a fertility and protector goddess in Turkic and Mongolic mythology, often associated with motherhood, children, and the nurturing aspects of nature.
  • D. Daura
    Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
  • E. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af022f55fc81909f2a1a04d0ea59e6 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c26d4c81909b8be74855cbd03f completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.