Triple
T5643579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Battle of Winchester |
E124327
|
entity |
| Predicate | UnionForcesStrength |
P65381
|
FINISHED |
| Object | approximately 6,900 soldiers |
—
|
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: approximately 6,900 soldiers | Statement: [Second Battle of Winchester, UnionForcesStrength, approximately 6,900 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UnionForcesStrength Context triple: [Second Battle of Winchester, UnionForcesStrength, approximately 6,900 soldiers]
-
A.
UnionForcesType
Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
-
B.
UnionStrength
Indicates the degree of solidarity, cohesion, and collective bargaining power within or among unions in a given context.
-
C.
unionStrength
Indicates the degree of solidarity, cohesion, or collective power within or among unions or union members.
-
D.
commandingForce2Strength
Indicates that a commanding force possesses or exerts a particular level or measure of strength.
-
E.
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.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a7cd9c819087f86f60e8b65fc3 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0727bc8190b16e9a669c04b4dd |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:41 p.m.