Triple
T36366196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumières de Noël de Montbéliard |
E895630
|
entity |
| Predicate | typeDeStand |
P31102
|
FINISHED |
| Object | stands de gastronomie |
—
|
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: stands de gastronomie | Statement: [Lumières de Noël de Montbéliard, typeDeStand, stands de gastronomie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeDeStand Context triple: [Lumières de Noël de Montbéliard, typeDeStand, stands de gastronomie]
-
A.
hasStandsType
chosen
Indicates that an entity has or is associated with a particular type or category of stands (e.g., display stands, support stands, or similar structures).
-
B.
servesStationType
Indicates that an entity provides service to, or operates in connection with, a particular type or category of station.
-
C.
standardsType
Indicates the classification or category of standards that apply to or are associated with an entity or activity.
-
D.
tierType
Indicates the classification level or rank assigned to an entity within a multi-level or hierarchical system.
-
E.
typeDeDéfilé
Indicates that an entity is associated with a specific type or category of parade/runway show (défilé).
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.