Triple
T17087741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lousã |
E414642
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Cerdeira |
E1182162
|
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: Cerdeira | Statement: [Lousã, hasVillage, Cerdeira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerdeira Context triple: [Lousã, hasVillage, Cerdeira]
-
A.
Cerdeira
chosen
Cerdeira is a small traditional schist village in central Portugal, known for its restored stone houses, artistic residencies, and scenic mountain setting.
-
B.
Cortegaça
Cortegaça is a civil parish in the municipality of Ovar, located in the Aveiro District of Portugal, known for its coastal setting and traditional Portuguese architecture.
-
C.
Carriçal
Carriçal is a small coastal settlement on the island of São Nicolau in Cape Verde, located within the municipality of Ribeira Brava.
-
D.
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
-
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 (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.