Triple

T13451850
Position Surface form Disambiguated ID Type / Status
Subject Nabi E320625 entity
Predicate appliesToFigure P1129 FINISHED
Object Isa E84737 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: Isa | Statement: [Nabi, appliesToFigure, Isa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isa
Context triple: [Nabi, appliesToFigure, Isa]
  • A. Isa chosen
    Isa is the Quranic name for Jesus, revered in Islam as a major prophet and messenger of God who performed miracles and will return before the Day of Judgment.
  • B. Yesa
    Yesa is an alternative name for the Tutelo, a Siouan-speaking Indigenous people historically located in the eastern United States.
  • C. Yesa
    Yesa is a small municipality in northern Spain, known for its proximity to the Yesa Reservoir and location along the Aragón River in the Navarre region.
  • D. Isinai
    Isinai is an Austronesian language spoken by the Isinai people of Nueva Vizcaya in the northern Philippines.
  • E. Issa
    Issa is a masculine given name of Arabic origin commonly used in various Middle Eastern and Muslim-majority cultures.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399c539c819080802b620da6fcfc completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.