Triple
T36039370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centerra (Loveland, Colorado) |
E1042495
|
entity |
| Predicate | hasCommercialComponent |
P202960
|
FINISHED |
| Object | retail centers |
—
|
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: retail centers | Statement: [Centerra (Loveland, Colorado), hasCommercialComponent, retail centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommercialComponent Context triple: [Centerra (Loveland, Colorado), hasCommercialComponent, retail centers]
-
A.
hasCommercialCore
chosen
Indicates that an entity possesses or includes a central area or component primarily dedicated to commercial activities or functions.
-
B.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
-
C.
hasCommercialVariant
Indicates that an entity has a related version that is produced, marketed, or sold commercially.
-
D.
hasCommercialServices
Indicates that one entity provides or offers commercial services to another entity or within a specified context.
-
E.
hasCommercialField
Indicates that one entity possesses or is associated with a commercial-related field, area, or domain in relation to 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.