Triple

T14632406
Position Surface form Disambiguated ID Type / Status
Subject Péron E343513 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Ain E57120 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: Ain | Statement: [Péron, locatedInAdministrativeTerritorialEntity, Ain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ain
Context triple: [Péron, locatedInAdministrativeTerritorialEntity, Ain]
  • A. Ain
    Ain is the station code for Ainola railway station, a local rail stop in Finland associated with the home of composer Jean Sibelius.
  • B. Ain chosen
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • C. Avin
    Avin is a village in the municipality of Hannut in the province of Liège, Belgium.
  • D. A’aninin
    A’aninin, also known as the Gros Ventre, are a Native American people of the Northern Plains historically associated with present-day Montana.
  • E. Anaa
    Anaa is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its large lagoon, traditional Polynesian culture, and historical significance as a former regional center.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cd952ec8190ae3013297e81309e completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:26 a.m.