Triple
T31486942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliveira de Frades Municipality |
E803300
|
entity |
| Predicate | locatedInCentralPortugal |
P203511
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Oliveira de Frades Municipality, locatedInCentralPortugal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCentralPortugal Context triple: [Oliveira de Frades Municipality, locatedInCentralPortugal, true]
-
A.
positionWithinAlgarve
Indicates that one entity is geographically located within the Algarve region.
-
B.
Caldas de Monchique
Indicates a locational or associative relationship involving the place named Caldas de Monchique, such as being situated in, originating from, or otherwise connected to that locality.
-
C.
roleInPortugal
Indicates that an entity holds or has held a specific role, position, or function within the context of Portugal.
-
D.
limitedPortugalTo
Indicates that something is restricted in scope, effect, or applicability specifically to Portugal.
-
E.
populationRankInPortugal
Indicates the relative position of an entity in terms of population size compared to other entities within Portugal.
- F. None of above. chosen
Provenance (4 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a019579463c8190b51e39183b57bbaf |
completed | May 11, 2026, 8:38 a.m. |
| PD | Predicate disambiguation | batch_6a0192d309488190a3d86c93e7138c77 |
completed | May 11, 2026, 8:26 a.m. |
| PDg | Predicate description generation | batch_6a019578545c8190964a8b9087d3a46a |
completed | May 11, 2026, 8:38 a.m. |
Created at: April 30, 2026, 9:35 p.m.