Triple
T13412376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Danse (ornament of the Opéra façade) |
E320120
|
entity |
| Predicate | locationOnBuilding |
P90764
|
FINISHED |
| Object | façade of the Palais Garnier |
—
|
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: façade of the Palais Garnier | Statement: [La Danse (ornament of the Opéra façade), locationOnBuilding, façade of the Palais Garnier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOnBuilding Context triple: [La Danse (ornament of the Opéra façade), locationOnBuilding, façade of the Palais Garnier]
-
A.
locatedOnBuilding
chosen
Indicates that one entity is physically situated on the exterior or rooftop surface of a building.
-
B.
locatedInSectionOfBuilding
Indicates that one entity is situated within a specific section or area of a building.
-
C.
currentBuilding
Indicates that an entity is located in, associated with, or belongs to the building that is relevant in the current context.
-
D.
hasBuildingLocation
Indicates that a building is situated at, or associated with, a specific geographic or spatial location.
-
E.
locatedInBuildingWithFeature
Indicates that something is located in a building that possesses a specified feature or characteristic.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:35 p.m.