Triple
T19835100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odivelas, Portugal |
E476568
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object | Pontinha e Famões |
—
|
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 e Famões | Statement: [Odivelas, Portugal, hasAdministrativeDivision, Pontinha e Famões]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontinha e Famões Context triple: [Odivelas, Portugal, hasAdministrativeDivision, Pontinha e Famões]
-
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.
Bom Jardim
Bom Jardim is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil, known for its mild climate and rural landscapes.
-
D.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
E.
Pinheiral
Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d0e738819093000d3307962328 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.