Triple

T22005634
Position Surface form Disambiguated ID Type / Status
Subject Count of Mortain E543444 entity
Predicate governs P760 FINISHED
Object County of Mortain 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: County of Mortain | Statement: [Count of Mortain, governs, County of Mortain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Mortain
Context triple: [Count of Mortain, governs, County of Mortain]
  • A. County of Mortain chosen
    The County of Mortain was a medieval Norman territorial lordship centered on the town of Mortain, historically held by powerful nobles closely tied to the dukes of Normandy and kings of England.
  • B. Mortemer
    Mortemer is a variant form of the given name Mortimer, used as a personal or family name in various historical and cultural contexts.
  • C. Mortville
    Mortville is the fictional suburban town where the events of the comedy film "Problem Child 2" take place.
  • D. Beauchamp, Normandy
    Beauchamp, Normandy is a locality in northern France historically associated with the origins of the noble Beauchamp family.
  • E. Bellevaux
    Bellevaux is a small commune in the Haute-Savoie department of southeastern France, known for its Alpine scenery and ski and outdoor tourism.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a0afa881908318a4ebe211ca28 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:21 p.m.