Triple
T14597152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São José (Ponta Delgada) |
E342599
|
entity |
| Predicate | hasNameInPortuguese |
P1435
|
FINISHED |
| Object | São José |
E342599
|
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: São José | Statement: [São José (Ponta Delgada), hasNameInPortuguese, São José]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São José Context triple: [São José (Ponta Delgada), hasNameInPortuguese, São José]
-
A.
São José
chosen
São José is a civil parish within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
B.
São José
São José is a historic central neighborhood of Recife, Brazil, known for its traditional markets, colonial-era architecture, and vibrant commercial activity.
-
C.
Jundiaí
Jundiaí is a mid-sized industrial and logistics city in southeastern Brazil known for its strong economy and high quality of life.
-
D.
Três Rios
Três Rios is a municipality in the state of Rio de Janeiro, Brazil, known as a regional commercial and logistical hub at the confluence of three rivers.
-
E.
Valinhos
Valinhos is a municipality in southeastern Brazil known for its agricultural production, especially grapes and figs, and its proximity to the city of Campinas.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb436d92881908fdf9267568feee2 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c81e608190848c290defcd84ac |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.