Triple
T16865293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altura (civil parish) |
E410020
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Castro Marim |
E12705
|
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: Castro Marim | Statement: [Altura (civil parish), locatedNear, Castro Marim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castro Marim Context triple: [Altura (civil parish), locatedNear, Castro Marim]
-
A.
Castro Marim
chosen
Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
-
B.
Castro Verde
Castro Verde is a rural municipality in Portugal’s Alentejo region, known for its rolling plains, cereal farming, and important birdlife habitats.
-
C.
Cabrera de Mar
Cabrera de Mar is a coastal municipality in the Maresme comarca of Catalonia, Spain, known for its Mediterranean beaches and archaeological heritage.
-
D.
Castro Urdiales
Castro Urdiales is a coastal town in northern Spain known for its medieval architecture, fishing port, and beaches along the Bay of Biscay.
-
E.
Castro de Avelãs
Castro de Avelãs is a civil parish in the municipality of Bragança in northeastern Portugal, known for its historical and rural character.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b506dd1c81909ab8006b6a1e2b7a |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb294c0481908306e1f604cc7404 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.