Triple
T12402847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blewitt Springs |
E296302
|
entity |
| Predicate | grapeVariety |
P975
|
FINISHED |
| Object | Mataro |
E988352
|
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: Mataro | Statement: [Blewitt Springs, grapeVariety, Mataro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mataro Context triple: [Blewitt Springs, grapeVariety, Mataro]
-
A.
Mataro
chosen
Mataro is an alternative name for Mourvèdre, a dark-skinned wine grape variety known for producing robust, tannic red wines often used in Mediterranean and Rhône-style blends.
-
B.
Martorell
Martorell is a town in Catalonia, Spain, known as an important industrial hub within the Barcelona metropolitan area.
-
C.
Barajas
Barajas is a Madrid Metro station on Line 8 that serves the Barajas district near Madrid–Barajas Airport.
-
D.
Alzira
Alzira is a historic town and municipality in eastern Spain known for its agricultural heritage and location along the Júcar River in the Valencian Community.
-
E.
Sesimbra
Sesimbra is a coastal town and municipality in Portugal known for its fishing heritage, beaches, and proximity to the Arrábida Natural 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556240f48190a3510d10ab98127b |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:55 p.m.