Triple
T97540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Deco |
E1964
|
entity |
| Predicate | usedInBuildingType |
P1844
|
FINISHED |
| Object | skyscrapers |
—
|
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: skyscrapers | Statement: [Art Deco, usedInBuildingType, skyscrapers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInBuildingType Context triple: [Art Deco, usedInBuildingType, skyscrapers]
-
A.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
B.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
-
D.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
-
E.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.