Triple
T2720761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPTM commuter rail |
E60073
|
entity |
| Predicate | connectsMunicipality |
P4245
|
FINISHED |
| Object | Itapevi |
E293514
|
NE 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: Itapevi | Statement: [CPTM commuter rail, connectsMunicipality, Itapevi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itapevi Context triple: [CPTM commuter rail, connectsMunicipality, Itapevi]
-
A.
Itapevi
chosen
Itapevi is a municipality in the metropolitan region of São Paulo, Brazil, known for its growing industrial sector and residential expansion.
-
B.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
C.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
D.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
-
E.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd1fc30c81909ac06588d50abdf8 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d466d6481908ca5952db369c9f3 |
completed | March 10, 2026, 1:31 p.m. |
Created at: March 6, 2026, 9:55 p.m.