Triple
T16270123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Médio Tejo Intermunicipal Community |
E394976
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Mação |
E374170
|
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: Mação | Statement: [Médio Tejo Intermunicipal Community, containsMunicipality, Mação]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mação Context triple: [Médio Tejo Intermunicipal Community, containsMunicipality, Mação]
-
A.
Mação
chosen
Mação is a municipality in central Portugal known for its rural landscapes, archaeological heritage, and traditional villages.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Rolim de Moura
Rolim de Moura is a municipality in the western Brazilian state of Rondônia, known for its agricultural economy and role in regional development within the Amazon frontier.
-
D.
Bonfim
Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
-
E.
Almagreira
Almagreira is a civil parish located within the municipality of Vila do Porto in the Azores, Portugal.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24608dd20819082f46a64af233038 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bceb3881909dbd3167820ef199 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.