Triple
T17087731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lousã |
E414642
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Serra da Lousã |
E375179
|
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: Serra da Lousã | Statement: [Lousã, locatedIn, Serra da Lousã]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serra da Lousã Context triple: [Lousã, locatedIn, Serra da Lousã]
-
A.
Serra da Lousã
chosen
Serra da Lousã is a mountain range in central Portugal known for its schist villages, dense forests, and popular hiking and nature tourism routes.
-
B.
Serra do Larouco
Serra do Larouco is a mountainous range in northern Portugal known for its high-altitude landscapes, strong winds, and traditional pastoral activities.
-
C.
Serra de Montesinho
Serra de Montesinho is a mountainous natural area in northeastern Portugal known for its protected landscapes, rich biodiversity, and traditional rural villages.
-
D.
Serra do Alvão
Serra do Alvão is a mountainous natural area in northern Portugal known for its rugged granite landscapes, waterfalls, and inclusion in the Alvão Natural Park.
-
E.
Serra do Morião
Serra do Morião is a mountainous area on Terceira Island in the Azores, Portugal, known for its volcanic landscapes and proximity to notable geological sites.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.