Triple
T21807985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Custer’s Last Stand |
E538396
|
entity |
| Predicate | approximateUSForces |
P81774
|
FINISHED |
| Object | about 600 soldiers and scouts |
—
|
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 600 soldiers and scouts | Statement: [Custer’s Last Stand, approximateUSForces, about 600 soldiers and scouts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateUSForces Context triple: [Custer’s Last Stand, approximateUSForces, about 600 soldiers and scouts]
-
A.
USForceStrength
chosen
Indicates the level or magnitude of military forces deployed or available by the United States in a given context.
-
B.
USForces
Indicates the presence, involvement, or deployment of United States military forces in relation to a specified location, event, or entity.
-
C.
primaryUSForces
Indicates that the referenced forces constitute the main or principal contingent of United States military forces in a given context or operation.
-
D.
attackingForceApprox
Indicates that one entity is the approximate attacking force, in terms of size or strength, relative to another entity or context.
-
E.
troopStrengthAlliedApprox
Indicates that the approximate troop strength of one entity is being assessed or reported in relation to its allied forces.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f078047ca88190a0efa4bc7f2faf80 |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:53 p.m.