Triple
T6474290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of El Caney |
E146030
|
entity |
| Predicate | usForceComposition |
P57250
|
FINISHED |
| Object | Regular U.S. infantry regiments |
—
|
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: Regular U.S. infantry regiments | Statement: [Battle of El Caney, usForceComposition, Regular U.S. infantry regiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usForceComposition Context triple: [Battle of El Caney, usForceComposition, Regular U.S. infantry regiments]
-
A.
redForcesComposition
Indicates the makeup or structure of the red (opposing) forces in terms of their constituent units, capabilities, or elements.
-
B.
USForceType
chosen
Indicates the type or category of U.S. military force involved in a given relationship or action.
-
C.
UnionForcesType
Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
-
D.
componentForces
Indicates that a force is decomposed into its constituent directional components that together produce the original overall force.
-
E.
USForces
Indicates the presence, involvement, or deployment of United States military forces in relation to a specified location, event, or entity.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a32c0188190bcb3c35fc1d796a6 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:50 p.m.