Triple
T23853820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triangle Waist Company |
E592247
|
entity |
| Predicate | operatedFloor |
P5519
|
FINISHED |
| Object | 8th floor of the Asch Building |
—
|
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: 8th floor of the Asch Building | Statement: [Triangle Waist Company, operatedFloor, 8th floor of the Asch Building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedFloor Context triple: [Triangle Waist Company, operatedFloor, 8th floor of the Asch Building]
-
A.
occupiesFloorsOf
Indicates that one entity uses or takes up multiple levels or stories within a building or structure.
-
B.
hasFloor
chosen
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
C.
hasFloorUse
Indicates that a particular floor or level of a building is designated for a specific function, activity, or type of use.
-
D.
numberOfFloorsServed
Indicates the total count of distinct floors that are served or accessed by a given entity (such as an elevator or service system).
-
E.
floorCount
Indicates the number of floors or levels that a building or structure has.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98954748190b39e0ac69e5625f9 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.