Triple
T36366203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumières de Noël de Montbéliard |
E895630
|
entity |
| Predicate | périodeDeLaJournée |
P147906
|
FINISHED |
| Object | principalement en soirée |
—
|
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: principalement en soirée | Statement: [Lumières de Noël de Montbéliard, périodeDeLaJournée, principalement en soirée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: périodeDeLaJournée Context triple: [Lumières de Noël de Montbéliard, périodeDeLaJournée, principalement en soirée]
-
A.
segmentOfDaypart
Indicates that one time segment occurs within or corresponds to a specific part of the day (e.g., morning, afternoon, evening).
-
B.
associatedTimeOfDay
chosen
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
C.
dayPattern
Indicates the recurring schedule or configuration of days on which an event, action, or condition occurs.
-
D.
isDiurnal
Indicates that an entity is active during the daytime and rests at night.
-
E.
عصر
Indicates a temporal relation where an event, state, or action occurs during the afternoon or at the time period referred to as “Asr.”
- 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.