Triple

T1950319
Position Surface form Disambiguated ID Type / Status
Subject Bahá'í Faith E42142 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Acre E57659 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: Acre | Statement: [Bahá'í Faith, hasAdministrativeCenter, Acre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acre
Context triple: [Bahá'í Faith, hasAdministrativeCenter, Acre]
  • A. Acre chosen
    Acre is an ancient port city on the Mediterranean coast of present-day Israel, renowned for its well-preserved Crusader and Ottoman architecture and its long, strategic history.
  • B. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • C. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • D. Guna Yala
    Guna Yala is an indigenous comarca (autonomous territory) along Panama’s Caribbean coast, known for its Guna people, coral islands, and distinctive traditional culture.
  • E. Wald
    Wald is a surname most notably associated with Abraham Wald, a pioneering statistician known for his work on statistical decision theory and survivorship bias during World War II.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb332b014819085bfc88d66cfc10a completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc17ce08190bd74c9c62d260326 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.