Triple
T7769498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Bautzen |
E179032
|
entity |
| Predicate | CoalitionStrength |
P74543
|
FINISHED |
| Object | approximately 90000–100000 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: approximately 90000–100000 troops | Statement: [Battle of Bautzen, CoalitionStrength, approximately 90000–100000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CoalitionStrength Context triple: [Battle of Bautzen, CoalitionStrength, approximately 90000–100000 troops]
-
A.
strengthCoalition
chosen
Indicates the degree to which a coalition is cohesive, influential, or capable of achieving its collective objectives.
-
B.
coalitionLevel
Indicates the degree or intensity of cooperative alignment or partnership between entities within a coalition.
-
C.
hasCoalition
Indicates that an entity participates in, belongs to, or is associated with a coalition formed with one or more other entities.
-
D.
coalitionPotential
Indicates the potential or likelihood that two or more entities can form a cooperative alliance or coalition.
-
E.
formedByCoalition
Indicates that something (such as a group, government, or organization) came into existence through the alliance or joint effort of multiple distinct parties or factions.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:11 p.m.