Triple
T10003254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTC Climate, Controls & Security |
E198177
|
entity |
| Predicate | providedProductOrService |
P16033
|
FINISHED |
| Object | heating solutions |
—
|
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: heating solutions | Statement: [UTC Climate, Controls & Security, providedProductOrService, heating solutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedProductOrService Context triple: [UTC Climate, Controls & Security, providedProductOrService, heating solutions]
-
A.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
B.
providerOf
Indicates that one entity supplies, furnishes, or makes available a good, service, or resource to another entity.
-
C.
offeredService
chosen
Indicates that one entity has provided or made available a service to another entity.
-
D.
providesServices
Indicates that one entity supplies or performs services for the benefit or use of another entity.
-
E.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd12f6488190bd5257b5f65437cc |
completed | April 2, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:51 p.m.