Triple

T30341044
Position Surface form Disambiguated ID Type / Status
Subject Overmountain Men E771752 entity
Predicate casualtiesInflictedAtKingsMountain P110385 FINISHED
Object heavy losses on Loyalist forces LITERAL 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: heavy losses on Loyalist forces | Statement: [Overmountain Men, casualtiesInflictedAtKingsMountain, heavy losses on Loyalist forces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: casualtiesInflictedAtKingsMountain
Context triple: [Overmountain Men, casualtiesInflictedAtKingsMountain, heavy losses on Loyalist forces]
  • A. battleOutcomeAtKingsMountain
    Indicates the result or consequence of a specific battle that took place at Kings Mountain between the involved parties.
  • B. dateOfBattleOfKingsMountain
    Indicates the calendar date on which the Battle of Kings Mountain took place.
  • C. confederateCasualtiesAndLosses
    Indicates the number or extent of casualties and material losses suffered by Confederate forces in a conflict or engagement.
  • D. casualties_British_side
    Indicates the number or extent of casualties suffered by the British side in a conflict or incident.
  • E. sustainedHeavyCasualtiesAt chosen
    Indicates that an entity experienced a large number of serious losses (e.g., deaths or injuries) at a specific location or during a specific event.
  • F. None of above.

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_69f2248b9a208190bc3e6804acd5afd6 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68202f0fc8190b6ad7101515ae10f completed May 2, 2026, 11 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 7:55 p.m.