Triple

T12337657
Position Surface form Disambiguated ID Type / Status
Subject Zaria Peterson E294131 entity
Predicate givenName P17 FINISHED
Object Zaria E65252 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: Zaria | Statement: [Zaria Peterson, givenName, Zaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaria
Context triple: [Zaria Peterson, givenName, Zaria]
  • A. Zaria chosen
    Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
  • B. Taybeh
    Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
  • C. Jabi
    Jabi is a prominent district in Abuja, Nigeria, known for its residential areas, commercial centers, and the popular Jabi Lake and Jabi Lake Mall.
  • D. Hadiyya
    Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
  • E. Madina
    Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f678698819091462b44ff3435f6 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef164508190bc311a8199cfbc70 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:53 p.m.