Triple
T37777617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Sao_Paulo |
E941730
|
entity |
| Predicate | cityReference |
P85444
|
FINISHED |
| Object | Sao_Paulo |
—
|
NE NERFINISHED |
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: Sao_Paulo | Statement: [America/Sao_Paulo, cityReference, Sao_Paulo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityReference Context triple: [America/Sao_Paulo, cityReference, Sao_Paulo]
-
A.
cityOfReference
chosen
Indicates that one entity serves as the primary or official city associated with, or used as a reference point for, another entity.
-
B.
cityService
Indicates that a service is provided by, operates within, or is administered by a particular city.
-
C.
cityFunction
Indicates the primary role, purpose, or functional classification associated with a city (e.g., administrative, commercial, industrial, cultural).
-
D.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
E.
regionOfCityReferenced
Indicates that a specific region or area within a city is being referenced or mentioned in relation to another entity or context.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf443e5c8190bfaf3e00ced78a30 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.