Triple
T2044569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milstein Hall |
E45419
|
entity |
| Predicate | hasFloorType |
P14640
|
FINISHED |
| Object | open studio floor |
—
|
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: open studio floor | Statement: [Milstein Hall, hasFloorType, open studio floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloorType Context triple: [Milstein Hall, hasFloorType, open studio floor]
-
A.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
B.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
C.
floorType
chosen
Indicates the type or material classification of a floor associated with an entity.
-
D.
hasFlooring
Indicates that one entity is equipped with or covered by a particular type of flooring material provided by another entity.
-
E.
hasFloorColor
Indicates that an entity possesses a floor whose surface is characterized by a specific color.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.