Triple
T1974100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Building 2 |
E42867
|
entity |
| Predicate | floorUse |
P27104
|
FINISHED |
| Object | classrooms |
—
|
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: classrooms | Statement: [MIT Building 2, floorUse, classrooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorUse Context triple: [MIT Building 2, floorUse, classrooms]
-
A.
floorType
Indicates the type or material classification of a floor associated with an entity.
-
B.
floorUseDistribution
chosen
Indicates how the use or function of space is distributed across different floors or levels within a structure.
-
C.
floor
Indicates that one entity is located on or forms the walking surface (the floor) beneath another entity within a space.
-
D.
hasFlooring
Indicates that one entity is equipped with or covered by a particular type of flooring material provided by another entity.
-
E.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f6c4208190a41e02733faed8df |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.