Triple
T23400158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal government of Patos |
E559479
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Patos |
—
|
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: Patos | Statement: [municipal government of Patos, locatedIn, Patos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patos Context triple: [municipal government of Patos, locatedIn, Patos]
-
A.
Patos
chosen
Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
-
B.
Bico de Pato
Bico de Pato is a tight, slow-speed hairpin-style corner at Brazil’s Autódromo José Carlos Pace (Interlagos) known for heavy braking and overtaking opportunities.
-
C.
Codó
Codó is a municipality in the northeastern Brazilian state of Maranhão, known for its cultural traditions and regional commerce.
-
D.
Pato
Pato is the stage name of Patrice Wilson, a Nigerian-American music producer and songwriter best known for creating viral pop songs such as Rebecca Black’s “Friday.”
-
E.
Pato
Pato is the nickname for the Talgo 350, a high-speed Spanish train known for its distinctive duck-bill-shaped nose and use on AVE services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.