Triple
T9981434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Armée du Nord |
E196459
|
entity |
| Predicate | garrisonOrAssemblyPoint |
P19869
|
FINISHED |
| Object | around Avesnes |
—
|
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: around Avesnes | Statement: [French Armée du Nord, garrisonOrAssemblyPoint, around Avesnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: garrisonOrAssemblyPoint Context triple: [French Armée du Nord, garrisonOrAssemblyPoint, around Avesnes]
-
A.
garrisonOrMobilizationPoint
Indicates a location where military forces are stationed, assembled, or prepared for deployment or mobilization.
-
B.
garrisonOrAssemblyArea
chosen
Indicates a location where military forces are stationed, housed, or gathered for organization, preparation, or deployment.
-
C.
garrisonOrHQ
Indicates that an entity serves as a military garrison or headquarters location for another entity.
-
D.
garrisonOrRecruitmentArea
Indicates an area designated for stationing military forces or for recruiting personnel into those forces.
-
E.
garrisonFunction
Indicates that an entity serves as a military garrison or base for another entity, providing housing, support, or operational facilities for its 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bb3dc481909c65c37303e44037 |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.