Triple
T7778338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Wikipedia |
E221449
|
entity |
| Predicate | contributorModel |
P16029
|
FINISHED |
| Object | open collaboration |
—
|
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: open collaboration | Statement: [French Wikipedia, contributorModel, open collaboration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributorModel Context triple: [French Wikipedia, contributorModel, open collaboration]
-
A.
contributors
chosen
Indicates that one or more entities have provided work, resources, or input toward the creation, development, or maintenance of another entity.
-
B.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
-
C.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
-
D.
supportsContributionModel
Indicates that one entity enables or is compatible with a particular model or framework for making contributions (such as donations, content, or resources).
-
E.
hasContributionFrom
Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:16 p.m.