Triple
T38506558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycée Français de New York |
E921780
|
entity |
| Predicate | accreditsDiploma |
P154370
|
FINISHED |
| Object | French Baccalauréat |
—
|
NE NERFINISHED |
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: French Baccalauréat | Statement: [Lycée Français de New York, accreditsDiploma, French Baccalauréat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accreditsDiploma Context triple: [Lycée Français de New York, accreditsDiploma, French Baccalauréat]
-
A.
accreditsThrough
Indicates that an entity grants or recognizes official accreditation by means of, or via the intermediary of, another entity or mechanism.
-
B.
providesAccreditationFor
chosen
Indicates that one entity formally grants or recognizes official accreditation or certification status for another entity.
-
C.
accreditedFrom
Indicates that an entity has received official accreditation, authorization, or recognition from a specified source or institution.
-
D.
accreditation
Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
-
E.
accreditedTo
Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
- 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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.