Triple
T17087727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lousã |
E414642
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Lousã (town) |
E414642
|
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: Lousã (town) | Statement: [Lousã, hasMunicipalSeat, Lousã (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lousã (town) Context triple: [Lousã, hasMunicipalSeat, Lousã (town)]
-
A.
Lousã
chosen
Lousã is a town and municipality in central Portugal known for its surrounding mountains, schist villages, and outdoor activities such as hiking and mountain biking.
-
B.
Lousã Municipality
Lousã Municipality is a Portuguese local administrative region in central Portugal, known for its historic castle, schist villages, and location within the Coimbra District.
-
C.
Alcobaça
Alcobaça is a historic Portuguese city best known for its UNESCO-listed Cistercian monastery, one of the country’s most important medieval monuments.
-
D.
Proença-a-Nova
Proença-a-Nova is a small municipality and town in central Portugal known for its rural landscapes, forested hills, and traditional villages.
-
E.
Montemor-o-Novo
Montemor-o-Novo is a historic town and municipality in Portugal’s Alentejo region, known for its medieval castle ruins and rural landscapes.
- 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.