Triple
T7028266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Laon |
E163203
|
entity |
| Predicate | strengthCoalition |
P74543
|
FINISHED |
| Object | approximately 80,000–90,000 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 80,000–90,000 soldiers | Statement: [Battle of Laon, strengthCoalition, approximately 80,000–90,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthCoalition Context triple: [Battle of Laon, strengthCoalition, approximately 80,000–90,000 soldiers]
-
A.
keyCoalition
Indicates a coalition relationship where an entity plays a central or decisive role within that coalition.
-
B.
hasCoalition
Indicates that an entity participates in, belongs to, or is associated with a coalition formed with one or more other entities.
-
C.
UnionForcesType
Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
-
D.
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.
-
E.
alliance
Indicates a formal cooperative relationship between entities who agree to support each other in shared goals or interests.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:35 p.m.