Triple
T17124882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beira Interior |
E415565
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Mêda |
E789635
|
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: Mêda | Statement: [Beira Interior, containsTown, Mêda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mêda Context triple: [Beira Interior, containsTown, Mêda]
-
A.
Mêda
chosen
Mêda is a municipality in northeastern Portugal known for its rural landscapes, wine production, and proximity to the Douro wine region.
-
B.
Mediona
Mediona is a small municipality in Catalonia, Spain, known for its rural landscape, vineyards, and historic castles.
-
C.
Dymitria
Dymitria is an alternative name for the Dymitriads, a religious celebration or festival associated with Saint Demetrius in Christian tradition.
-
D.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
E.
Cameia
Cameia is a small town in eastern Angola’s Moxico Province, known as a gateway to the nearby Cameia National Park.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f025fce481908e261f2e363e14f9 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a12a7288190911c1be2667916c0 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.