Triple
T36366190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumières de Noël de Montbéliard |
E895630
|
entity |
| Predicate | motifDeVisite |
P95395
|
FINISHED |
| Object | découverte des illuminations |
—
|
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: découverte des illuminations | Statement: [Lumières de Noël de Montbéliard, motifDeVisite, découverte des illuminations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motifDeVisite Context triple: [Lumières de Noël de Montbéliard, motifDeVisite, découverte des illuminations]
-
A.
museumOrSite
Indicates that one entity is a museum or cultural/historical site associated with or relevant to another entity.
-
B.
subjectOfTour
chosen
Indicates that an entity serves as the main focus, destination, or theme of a tour.
-
C.
heritageAttraction
Indicates that something is recognized or designated as a heritage-related attraction, typically of cultural, historical, or natural significance.
-
D.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
E.
museumCity
Indicates the city in which a given museum is located.
- 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_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.