Triple
T19121292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odivelas Municipality |
E468051
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pontinha |
—
|
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: Pontinha | Statement: [Odivelas Municipality, contains, Pontinha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontinha Context triple: [Odivelas Municipality, contains, Pontinha]
-
A.
Pontinha
chosen
Pontinha is a civil parish in the municipality of Odivelas, within the Lisbon metropolitan area of Portugal.
-
B.
Três Pontões
Três Pontões is a locality in the Brazilian state of Espírito Santo, known for its rural landscape and proximity to distinctive rocky formations.
-
C.
Piriápolis
Piriápolis is a coastal resort city in southeastern Uruguay known for its beaches, historic hotels, and surrounding hills.
-
D.
Canoas
Canoas is a major industrial and residential city in the Porto Alegre metropolitan region of Rio Grande do Sul, Brazil.
-
E.
Piraí
Piraí is a municipality in the state of Rio de Janeiro, Brazil, known for its location in the Sul Fluminense region and its mix of rural landscapes and growing industrial and service sectors.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c921d4819092e2ae237bf85978 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.