Triple
T15255096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valinhos |
E364624
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Louveira |
E973272
|
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: Louveira | Statement: [Valinhos, neighboringMunicipality, Louveira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louveira Context triple: [Valinhos, neighboringMunicipality, Louveira]
-
A.
Louveira
chosen
Louveira is a small municipality in the state of São Paulo, Brazil, known for its agriculture, especially grape production, and its location within the Campinas metropolitan region.
-
B.
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
-
C.
Peniche
Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
-
D.
Fontainhas
Fontainhas is the historic Latin Quarter of Panaji in Goa, India, known for its narrow streets, colorful Portuguese-style houses, and colonial-era charm.
-
E.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef893e73c8190804c14fa1890ac8b |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:13 a.m.