Triple
T5355006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galeries nationales du Grand Palais |
E102667
|
entity |
| Predicate | locatedInBuildingWithFeature |
P63206
|
FINISHED |
| Object | large glass roof |
—
|
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: large glass roof | Statement: [Galeries nationales du Grand Palais, locatedInBuildingWithFeature, large glass roof]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInBuildingWithFeature Context triple: [Galeries nationales du Grand Palais, locatedInBuildingWithFeature, large glass roof]
-
A.
tookPlaceInBuilding
Indicates that an event or action occurred within the physical premises of a specific building.
-
B.
locatedInSkyscraper
Indicates that one entity is physically situated within or inside a skyscraper.
-
C.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
D.
buildingIncorporatedInto
Indicates that one building has been structurally or functionally integrated into another building as part of a combined or expanded construction.
-
E.
buildingUsedBy
Indicates that a particular building is utilized or occupied by a specified entity for some purpose.
- F. None of above. chosen
Provenance (4 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862dbb008190aef653acddafd38b |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2:01 p.m.