Triple
T34359912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Caetano do Sul |
E881842
|
entity |
| Predicate | publicServiceQuality |
P195335
|
FINISHED |
| Object | high health indicators |
—
|
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: high health indicators | Statement: [São Caetano do Sul, publicServiceQuality, high health indicators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicServiceQuality Context triple: [São Caetano do Sul, publicServiceQuality, high health indicators]
-
A.
serviceQualityReputation
chosen
Indicates the perceived level of quality associated with a service based on its reputation among stakeholders.
-
B.
supportsQuality
Indicates that one entity contributes to maintaining, enhancing, or ensuring the quality or standard of another entity or process.
-
C.
serviceStarMeaning
Indicates that a particular number of service stars symbolizes a specific level, quality, or category of service.
-
D.
serviceability
Indicates the extent to which something can be maintained, repaired, or kept in proper working condition.
-
E.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 1, 2026, 1:58 a.m.