Triple
T36366194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumières de Noël de Montbéliard |
E895630
|
entity |
| Predicate | duréeTypique |
P161077
|
FINISHED |
| Object | plusieurs semaines |
—
|
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: plusieurs semaines | Statement: [Lumières de Noël de Montbéliard, duréeTypique, plusieurs semaines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: duréeTypique Context triple: [Lumières de Noël de Montbéliard, duréeTypique, plusieurs semaines]
-
A.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
B.
duración
chosen
Indicates the length of time or period over which something lasts or continues.
-
C.
commonDuration
Indicates that two or more events, actions, or states share the same length of time.
-
D.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
E.
typicalTourDuration
Indicates the usual length of time that a tour normally takes to complete.
- 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.