Triple
T23403691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Montmirail |
E559574
|
entity |
| Predicate | CoalitionForceStrength |
P152128
|
FINISHED |
| Object | approximately 18,000–25,000 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 18,000–25,000 soldiers | Statement: [Battle of Montmirail, CoalitionForceStrength, approximately 18,000–25,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CoalitionForceStrength Context triple: [Battle of Montmirail, CoalitionForceStrength, approximately 18,000–25,000 soldiers]
-
A.
strengthCoalition
Indicates the degree to which a coalition is cohesive, influential, or capable of achieving its collective objectives.
-
B.
UNForcesStrength
Indicates the size or level of military capability of United Nations forces involved in a given context.
-
C.
commandingForce2Strength
Indicates that a commanding force possesses or exerts a particular level or measure of strength.
-
D.
coalitionStrength
Indicates the degree or intensity of support, unity, or cooperative power shared among members of a coalition.
-
E.
combatantStrength
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e16f9881908ea4bef465e3af11 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:37 p.m.