Triple

T20669057
Position Surface form Disambiguated ID Type / Status
Subject Hugh II, Duke of Burgundy E507969 entity
Predicate associatedWithTerritory P12445 FINISHED
Object Autun NE NERFINISHED

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: Autun | Statement: [Hugh II, Duke of Burgundy, associatedWithTerritory, Autun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autun
Context triple: [Hugh II, Duke of Burgundy, associatedWithTerritory, Autun]
  • A. Autun chosen
    Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
  • B. Ardoch
    Ardoch is a small rural community located within the township of Central Frontenac in eastern Ontario, Canada.
  • C. Arrah
    Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
  • D. Larimore
    Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
  • E. Holladay
    Holladay is a suburban city in the Salt Lake City metropolitan area in northern Utah, known for its residential neighborhoods and proximity to the Wasatch Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c60a2481908ae3764bc12454e0 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.