Triple
T8631353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogil |
E204409
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Aljezur |
E40421
|
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: Aljezur | Statement: [Rogil, locatedIn, Aljezur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aljezur Context triple: [Rogil, locatedIn, Aljezur]
-
A.
Aljezur
chosen
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.
-
B.
Sesimbra
Sesimbra is a coastal town and municipality in Portugal known for its fishing heritage, beaches, and proximity to the Arrábida Natural Park.
-
C.
Alquézar
Alquézar is a historic hilltop village in northeastern Spain renowned for its medieval architecture and dramatic setting above the Vero River canyon.
-
D.
Guadix
Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
-
E.
Nerja
Nerja is a coastal town on Spain’s Costa del Sol, known for its beaches, dramatic cliffs, and the famous Nerja Caves.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47417e9c819099739ae901449308 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4264a5508190abe663d099b907a6 |
completed | April 3, 2026, 4:30 a.m. |
Created at: March 30, 2026, 6:27 p.m.