Triple
T8486990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Building |
E200854
|
entity |
| Predicate | roofUsedFor |
P45038
|
FINISHED |
| Object | scientific instruments |
—
|
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: scientific instruments | Statement: [Green Building, roofUsedFor, scientific instruments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofUsedFor Context triple: [Green Building, roofUsedFor, scientific instruments]
-
A.
houseUse
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
-
B.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
C.
residenceUsedFor
chosen
Indicates that a particular residence is used for a specific purpose, function, or activity.
-
D.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
E.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53c4d608190a766c0e919a4b96f |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.