Triple
T2893800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olhão |
E63889
|
entity |
| Predicate | municipalSeat |
P15510
|
FINISHED |
| Object | Olhão (city) |
E63889
|
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: Olhão (city) | Statement: [Olhão, municipalSeat, Olhão (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olhão (city) Context triple: [Olhão, municipalSeat, Olhão (city)]
-
A.
Olhão
chosen
Olhão is a coastal city in Portugal’s Algarve region, known for its fishing port, historic waterfront, and access to the Ria Formosa lagoon and nearby islands.
-
B.
Olhão railway station
Olhão railway station is a passenger rail stop in the town of Olhão, Portugal, serving regional and intercity trains along the Algarve railway line.
-
C.
Estepona
Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
-
D.
La Oliva
La Oliva is a municipality in northern Fuerteventura in Spain’s Canary Islands, known for its volcanic landscapes, dunes, and popular tourist beaches such as Corralejo.
-
E.
Ferragudo
Ferragudo is a picturesque coastal village in Portugal’s Algarve region, known for its traditional whitewashed houses, fishing heritage, and scenic beaches along the Arade River.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe063de6c8190bce9ddefd1dd62e1 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031814764819096a1664b468ec817 |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:07 p.m.