Triple
T15984292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesão Frio Municipality |
E387652
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Mesão Frio |
E397312
|
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: Mesão Frio | Statement: [Mesão Frio Municipality, hasMunicipalSeat, Mesão Frio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mesão Frio Context triple: [Mesão Frio Municipality, hasMunicipalSeat, Mesão Frio]
-
A.
Mesão Frio
chosen
Mesão Frio is a small Portuguese municipality in the Douro region, known for its terraced vineyards and wine production landscapes along the Douro River.
-
B.
Frasqueira
Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
-
C.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
D.
Lajedo
Lajedo is a small settlement on Flores Island in Portugal’s Azores archipelago, known for its rural character and Atlantic island landscape.
-
E.
Lacanha
Lacanha is an ancient Maya archaeological site in the western lowlands of Chiapas, Mexico, known for its ruins, inscriptions, and role within the Classic-period Maya civilization.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15757a3548190900de1962308f6b8 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.