Triple
T38156522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dior haute couture collections |
E952900
|
entity |
| Predicate | locationOfAteliers |
P147882
|
FINISHED |
| Object | Avenue Montaigne, Paris |
—
|
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: Avenue Montaigne, Paris | Statement: [Dior haute couture collections, locationOfAteliers, Avenue Montaigne, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfAteliers Context triple: [Dior haute couture collections, locationOfAteliers, Avenue Montaigne, Paris]
-
A.
areLocatedAt
Indicates that one or more entities occupy or exist at a specific location or place.
-
B.
oftenLocatedAt
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
-
C.
exhibitLocation
Indicates the place or venue where something is displayed, presented, or put on exhibit.
-
D.
workshopOrStudio
chosen
Indicates that one entity functions as a workshop or studio associated with, used by, or belonging to another entity.
-
E.
hasArtCenter
Indicates that an entity possesses, hosts, or includes an art center as one of its facilities or components.
- 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.