Triple
T10003278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTC Climate, Controls & Security |
E198177
|
entity |
| Predicate | offeredSolutionType |
P4453
|
FINISHED |
| Object | products |
—
|
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: products | Statement: [UTC Climate, Controls & Security, offeredSolutionType, products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredSolutionType Context triple: [UTC Climate, Controls & Security, offeredSolutionType, products]
-
A.
offeringType
Indicates the category or nature of what is being offered in a transaction or interaction (e.g., product, service, or other type of offering).
-
B.
offersSolution
Indicates that one entity provides or proposes a remedy, answer, or way to resolve a problem or need experienced by another entity.
-
C.
offeredService
Indicates that one entity has provided or made available a service to another entity.
-
D.
offeredEngineType
Indicates that a particular type of engine is made available or provided as an option in a given context.
-
E.
solutionType
chosen
Indicates the specific category or kind of solution associated with an entity or problem.
- 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.