Triple
T22556467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabril Reservoir |
E557697
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Pedrógão Grande |
—
|
NE NERFINISHED |
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: Pedrógão Grande | Statement: [Cabril Reservoir, locatedNear, Pedrógão Grande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedrógão Grande Context triple: [Cabril Reservoir, locatedNear, Pedrógão Grande]
-
A.
Pedrógão Grande
chosen
Pedrógão Grande is a small municipality in central Portugal known for its forested landscapes and the devastating 2017 wildfires that caused significant loss of life and damage.
-
B.
Pedrógão Pequeno
Pedrógão Pequeno is a small village in central Portugal known for its scenic setting near the Zêzere River and its historic bridge and dam.
-
C.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
-
D.
Lourinhã
Lourinhã is a coastal municipality in western Portugal known for its rich dinosaur fossil discoveries and scenic Atlantic beaches.
-
E.
Pedrógão
Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7a4a3c81908fc87f48b6dcbbf7 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.