Triple
T4747169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabrero |
E105387
|
entity |
| Predicate | serviceFunction |
P18496
|
FINISHED |
| Object | commercial services center for surrounding rural area |
—
|
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: commercial services center for surrounding rural area | Statement: [Cabrero, serviceFunction, commercial services center for surrounding rural area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceFunction Context triple: [Cabrero, serviceFunction, commercial services center for surrounding rural area]
-
A.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
B.
serviceIn
chosen
Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
-
C.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
-
D.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
-
E.
serviceClass
Indicates the classification or category of service associated with or provided by an entity in the relationship.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c3fcb081909b1fe867b4adac8b |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.