Triple
T21271033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezíria do Tejo |
E524254
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Alpiarça |
—
|
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: Alpiarça | Statement: [Lezíria do Tejo, containsMunicipality, Alpiarça]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpiarça Context triple: [Lezíria do Tejo, containsMunicipality, Alpiarça]
-
A.
Alpiarça
chosen
Alpiarça is a municipality in Portugal’s Santarém District, known for its agricultural landscape and location in the Ribatejo region.
-
B.
Penacova
Penacova is a picturesque riverside town in central Portugal known for its scenic landscapes, viewpoints, and traditional villages along the Mondego River.
-
C.
Porto Covo
Porto Covo is a small coastal village in Portugal’s Alentejo region, known for its picturesque beaches, rugged cliffs, and traditional whitewashed houses.
-
D.
Carrazeda de Ansiães
Carrazeda de Ansiães is a municipality in northeastern Portugal known for its wine production, historical heritage, and location within the Douro wine region.
-
E.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736534c348190a8d29e8d724dd40a |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.