Triple
T22765680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Craonne |
E563115
|
entity |
| Predicate | CoalitionStrengthApprox |
P26187
|
FINISHED |
| Object | about 30,000–40,000 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 30,000–40,000 troops | Statement: [Battle of Craonne, CoalitionStrengthApprox, about 30,000–40,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CoalitionStrengthApprox Context triple: [Battle of Craonne, CoalitionStrengthApprox, about 30,000–40,000 troops]
-
A.
coalitionPotential
Indicates the potential or likelihood that two or more entities can form a cooperative alliance or coalition.
-
B.
coalitionLevel
Indicates the degree or intensity of cooperative alignment or partnership between entities within a coalition.
-
C.
unionStrengthApproximate
chosen
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.
-
D.
strengthCoalition
Indicates the degree to which a coalition is cohesive, influential, or capable of achieving its collective objectives.
-
E.
largestCoalition
Indicates that a given coalition is the largest (by size or defined measure) among all possible coalitions in the relevant context.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80249c819091569e7b8d500b45 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:26 p.m.