Triple
T29448525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batata-doce de Aljezur |
E746916
|
entity |
| Predicate | municipalityOfOrigin |
P1041
|
FINISHED |
| Object | Aljezur |
—
|
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: Aljezur | Statement: [Batata-doce de Aljezur, municipalityOfOrigin, Aljezur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalityOfOrigin Context triple: [Batata-doce de Aljezur, municipalityOfOrigin, Aljezur]
-
A.
countyOfOrigin
Indicates the county from which an entity originally comes or was first produced.
-
B.
formedMunicipalityOn
Indicates that a new municipality was officially created or established on a specific date.
-
C.
cityOfOriginal
chosen
Indicates the city from which something or someone originally comes or was first created or established.
-
D.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
E.
capitalOfOrigin
Indicates that one entity is the capital city associated with the origin (such as birthplace, founding place, or source location) of another entity.
- F. None of above.
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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 3:30 p.m.