Triple
T15570331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castanheira de Pera |
E374221
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Góis |
E381170
|
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: Góis | Statement: [Castanheira de Pera, borderedBy, Góis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Góis Context triple: [Castanheira de Pera, borderedBy, Góis]
-
A.
Góis
chosen
Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
B.
Gouveia
Gouveia is a municipality and town in central Portugal, situated in the Serra da Estrela mountain range and known for its natural landscapes and wool industry heritage.
-
C.
Golegã
Golegã is a Portuguese town famed for its equestrian traditions and annual horse fair, located in the Centro Region of Portugal.
-
D.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
E.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff875bb0808190a6a4e3b47b524689 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:10 a.m.