Triple

T968123
Position Surface form Disambiguated ID Type / Status
Subject Nachmanides E20881 entity
Predicate settledIn P156 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: [Nachmanides, settledIn, Acre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acre
Context triple: [Nachmanides, settledIn, 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. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • C. 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.
  • D. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • E. Abia State
    Abia State is a landlocked state in southeastern Nigeria known for its commercial hub Aba and its role in the oil-producing Niger Delta 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43549008190a4d65efdc3bda520 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cd9705c8190adf1fb72188cc84e completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:40 p.m.