Triple
T33533497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Research Tower |
E858858
|
entity |
| Predicate | numberOfLaboratoryFloors |
P106501
|
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, numberOfLaboratoryFloors, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLaboratoryFloors Context triple: [Research Tower, numberOfLaboratoryFloors, 7]
-
A.
numberOfLabs
chosen
Indicates the quantity or count of laboratories associated with a given entity.
-
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.
hasLaboratorySpace
Indicates that an entity provides or contains designated laboratory facilities or areas for scientific or technical work.
-
E.
laboratoryVolume
Indicates the measured or specified volume associated with a laboratory or laboratory-related space.
- 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_6a032b2285ac81908826f311a222c749 |
completed | May 12, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_6a032929b8b88190bf7d14d789b38aeb |
completed | May 12, 2026, 1:20 p.m. |
Created at: May 1, 2026, 1:39 a.m.