Triple
T16308940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westfield Galleria at Roseville |
E395995
|
entity |
| Predicate | numberOfFloorsInAnchors |
P53359
|
FINISHED |
| Object | 2 |
—
|
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 | Statement: [Westfield Galleria at Roseville, numberOfFloorsInAnchors, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFloorsInAnchors Context triple: [Westfield Galleria at Roseville, numberOfFloorsInAnchors, 2]
-
A.
numberOfFloorsInAnchorStores
chosen
Indicates the relationship specifying how many floors are contained within each anchor store.
-
B.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
-
C.
locatedInBuildingFloorCount
Indicates that one entity is located in or associated with a building characterized by a specific number of floors.
-
D.
floorCount
Indicates the number of floors or levels that a building or structure has.
-
E.
numberOfElevators
Indicates the total count of elevators associated with a given entity or location.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d9557c81909203cd47aebf0f44 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.