Triple

T10455671
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Little Bighorn E246545 entity
Predicate strengthNativeForces P47609 FINISHED
Object several thousand warriors 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: several thousand warriors | Statement: [Battle of the Little Bighorn, strengthNativeForces, several thousand warriors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strengthNativeForces
Context triple: [Battle of the Little Bighorn, strengthNativeForces, several thousand warriors]
  • A. nativeForces chosen
    Indicates that certain forces or troops are indigenous to, or originate from, a particular place, group, or population.
  • B. strength
    Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
  • C. strengthType
    Indicates the specific category or nature of strength associated with an entity or relationship (e.g., physical, structural, or conceptual strength).
  • D. strengthDescription
    Indicates a description or characterization of the degree of strength associated with an entity or relationship.
  • E. forces
    Indicates that one entity compels or obliges another entity to perform an action or be in a certain state, typically against the latter’s will or without full freedom of choice.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe48d15c8190bae0d4859e6cda5d completed April 7, 2026, 12:53 p.m.
PD Predicate disambiguation batch_69d4fb7d353c8190a73f439a956c7606 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:18 p.m.