Triple
T13014923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taubaté |
E322525
|
entity |
| Predicate | locatedInValley |
P40
|
FINISHED |
| Object | Paraíba Valley |
E231774
|
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: Paraíba Valley | Statement: [Taubaté, locatedInValley, Paraíba Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paraíba Valley Context triple: [Taubaté, locatedInValley, Paraíba Valley]
-
A.
Paraíba River
The Paraíba River is a major river in northeastern Brazil that flows through the state of Paraíba and past its capital, João Pessoa, before reaching the Atlantic Ocean.
-
B.
Paraíba do Sul River
chosen
The Paraíba do Sul River is an important waterway in southeastern Brazil that supports regional agriculture, industry, and urban water supply across the states of São Paulo, Rio de Janeiro, and Minas Gerais.
-
C.
Sousa River
The Sousa River is a significant river in northern Portugal that feeds into the Douro River and contributes to its drainage basin.
-
D.
Parnaíba
Parnaíba is a coastal city in northeastern Brazil known for its proximity to the Parnaíba River Delta and its role as a regional economic and tourism hub.
-
E.
Sergipe River
The Sergipe River is a significant waterway in the Brazilian state of Sergipe, flowing through key municipalities and playing an important role in the region’s ecology and economy.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7460999c081908c8d84caf6c04985 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 8:50 p.m.