Triple
T17631252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas linguistique de la France |
E429979
|
entity |
| Predicate | numberOfSurveyPoints |
P128341
|
FINISHED |
| Object | 639 |
—
|
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: 639 | Statement: [Atlas linguistique de la France, numberOfSurveyPoints, 639]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSurveyPoints Context triple: [Atlas linguistique de la France, numberOfSurveyPoints, 639]
-
A.
usesSurveyPoint
Indicates that an entity relies on or references a specific survey point as a positional or measurement basis in its activity or relationship.
-
B.
surveyCadence
Indicates how frequently or at what regular interval surveys are conducted or sent out.
-
C.
coSurveyedWith
Indicates that two or more entities participated together in the same survey activity or data-collection effort.
-
D.
numberOfQuestions
Indicates the total count of questions associated with or contained in a given entity or context.
-
E.
surveyRepetitions
Indicates the number of times a particular survey is administered or repeated within a given context.
- F. None of above. chosen
Provenance (4 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc192dc8190854f1fe5d5ed696a |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:52 a.m.