Triple
T16764003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows on the World |
E407415
|
entity |
| Predicate | floorCountOccupied |
P1514
|
FINISHED |
| Object | 2 floors |
—
|
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: 2 floors | Statement: [Windows on the World, floorCountOccupied, 2 floors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorCountOccupied Context triple: [Windows on the World, floorCountOccupied, 2 floors]
-
A.
floorCount
chosen
Indicates the number of floors or levels that a building or structure has.
-
B.
floorCountAroundSpace
Indicates the number of floors present in the vicinity of a given space or area.
-
C.
floorCountApproximate
Indicates an approximate or estimated number of floors associated with a building or structure.
-
D.
locatedInBuildingFloorCount
Indicates that one entity is located in or associated with a building characterized by a specific number of floors.
-
E.
floorCountIncludingBasement
Indicates the total number of floors in a building, counting all above-ground levels plus any basement levels.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abef492c8190880d3b39c3641eed |
completed | April 18, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.