Triple
T2642369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loulé railway station |
E62899
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Quarteira |
E43786
|
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: Quarteira | Statement: [Loulé railway station, locatedNear, Quarteira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quarteira Context triple: [Loulé railway station, locatedNear, Quarteira]
-
A.
Quarteira
chosen
Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
-
B.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
-
C.
Aljezur
Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
-
D.
Corralejo
Corralejo is a popular resort town on the northern coast of Fuerteventura in Spain’s Canary Islands, known for its sandy beaches, dunes, and water sports.
-
E.
Olhão
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.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb672731881909f7df113a279e1a5 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.