Triple

T21977026
Position Surface form Disambiguated ID Type / Status
Subject Second Battle of Corinth E542730 entity
Predicate garrisonStrengthUnionApprox P146133 FINISHED
Object about 23,000 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 23,000 troops | Statement: [Second Battle of Corinth, garrisonStrengthUnionApprox, about 23,000 troops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: garrisonStrengthUnionApprox
Context triple: [Second Battle of Corinth, garrisonStrengthUnionApprox, about 23,000 troops]
  • A. garrisonSize
    Indicates the number of troops or defenders stationed at a particular location as its garrison.
  • B. unionArmy
    Indicates that an entity served in, was part of, or is otherwise affiliated with the Union Army (the United States Army of the North) during the American Civil War.
  • C. primaryUnionArmy
    Indicates that the subject served as the main or principal army force for the Union side in a given conflict or context.
  • D. unionStrengthApproximate
    Indicates that the strength of a union or combination between entities is represented in an estimated or approximate manner rather than as an exact value.
  • E. USForceStrength
    Indicates the level or magnitude of military forces deployed or available by the United States in a given context.
  • F. None of above. chosen

Provenance (4 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12489889c81909c847cf2f6808d85 completed April 28, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69e6f6154e408190acc5b2c278acaff4 completed April 21, 2026, 3:59 a.m.
PDg Predicate description generation batch_69e6fad4a540819096cdd5ea08527220 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 8:03 p.m.