Triple
T4035899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terra Alta |
E83825
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Priorat |
E391594
|
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: Priorat | Statement: [Terra Alta, borderedBy, Priorat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Priorat Context triple: [Terra Alta, borderedBy, Priorat]
-
A.
Priorat
chosen
Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
-
B.
Alt Penedès
Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
-
C.
Vilafranca del Penedès
Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
-
D.
Gandria
Gandria is a picturesque lakeside village in southern Switzerland known for its historic stone houses, narrow alleyways, and scenic setting on the shores of Lake Lugano.
-
E.
Noguera Ribagorçana
Noguera Ribagorçana is a river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb132f6c8190937acd35a6a5a9e4 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556415ebc8190a528c7e22dbf70df |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.