Triple
T33533496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Research Tower |
E858858
|
entity |
| Predicate | numberOfOfficeFloors |
P80467
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Research Tower, numberOfOfficeFloors, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOfficeFloors Context triple: [Research Tower, numberOfOfficeFloors, 7]
-
A.
hasOfficeFloors
chosen
Indicates that one entity (typically a building or structure) contains floors that are designated or used as office space.
-
B.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
-
C.
numberOfOffices
Indicates the total count of offices associated with a given entity.
-
D.
numberOfResidentialFloors
Indicates the total count of floors in a building that are designated for residential use.
-
E.
numberOfFloorNames
Indicates the relationship that specifies how many distinct floor names are associated with a given 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0326d40cb88190802f61fa832f8ca8 |
completed | May 12, 2026, 1:10 p.m. |
| PD | Predicate disambiguation | batch_6a03268b4f9c8190b3e135b37ed373c3 |
completed | May 12, 2026, 1:09 p.m. |
Created at: May 1, 2026, 1:39 a.m.