Triple
T28526913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carré d’Art |
E721930
|
entity |
| Predicate | hasAboveGroundLevels |
P78480
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Carré d’Art, hasAboveGroundLevels, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAboveGroundLevels Context triple: [Carré d’Art, hasAboveGroundLevels, 5]
-
A.
hasFloorsAboveGround
chosen
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
-
B.
locatedAboveGround
Indicates that one entity is positioned at a level higher than the ground surface, not buried or below ground.
-
C.
hasUndergroundLevel
Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
-
D.
heightAboveGround
Indicates the vertical distance of an entity measured from the ground surface directly beneath it.
-
E.
hasFloorElevation
Indicates that one entity has a specified vertical height or level above a reference point (such as sea level or ground) for its floor.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fa766d881908d7bd0d7e5c3c330 |
completed | May 2, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:25 a.m.