Triple
T10795419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Odemira |
E254691
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Zambujeira do Mar |
E722913
|
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: Zambujeira do Mar | Statement: [Municipality of Odemira, contains, Zambujeira do Mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zambujeira do Mar Context triple: [Municipality of Odemira, contains, Zambujeira do Mar]
-
A.
Zambujeira do Mar
chosen
Zambujeira do Mar is a small coastal village in southwest Portugal known for its dramatic cliffs, sandy beaches, and popular summer music festival.
-
B.
Odivelas
Odivelas is a suburban city and municipality in the Lisbon metropolitan area of Portugal, known for its residential character and proximity to the capital.
-
C.
Armação de Pêra
Armação de Pêra is a coastal resort town in Portugal’s Algarve region, known for its sandy beaches and tourism.
-
D.
Oeiras
Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
-
E.
Oeiras
Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733321dd881909dcd4224dfa9822a |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5654e2c48190a8f078b8164707e2 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.