Triple

T733722
Position Surface form Disambiguated ID Type / Status
Subject Siege of Yorktown E14883 entity
Predicate approximateStrengthAllied P690 FINISHED
Object about 17,000 troops 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: about 17,000 troops | Statement: [Siege of Yorktown, approximateStrengthAllied, about 17,000 troops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateStrengthAllied
Context triple: [Siege of Yorktown, approximateStrengthAllied, about 17,000 troops]
  • A. troopStrengthAlliedApprox chosen
    Indicates that the approximate troop strength of one entity is being assessed or reported in relation to its allied forces.
  • B. combatantStrength
    Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
  • C. allianceSupport
    Indicates a cooperative relationship where one party provides assistance, resources, or backing to an ally within the context of an alliance.
  • D. estimatedStrength
    Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
  • E. warTimeStrengthApprox
    Indicates an approximate measure of an entity’s military strength or capacity during a time of war.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66820548190b373deb117187c2c completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a4fafee081909bf356854c09aaff completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.