Triple

T10553710
Position Surface form Disambiguated ID Type / Status
Subject Zaria Peterson E249018 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. Hadiyya
    Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
  • C. Madina
    Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
  • D. Madinaty
    Madinaty is a large, modern planned city and residential community on the outskirts of Cairo, Egypt, featuring extensive housing, green spaces, and amenities.
  • E. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52710869c81909b6db1a190825bad completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9346f6a38819087647e7a09f40c41 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:34 p.m.