Triple
T9290347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comarca of Alt Empordà |
E223499
|
entity |
| Predicate | hasBorderCrossing |
P4105
|
FINISHED |
| Object | La Jonquera |
E790496
|
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: La Jonquera | Statement: [Comarca of Alt Empordà, hasBorderCrossing, La Jonquera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Jonquera Context triple: [Comarca of Alt Empordà, hasBorderCrossing, La Jonquera]
-
A.
La Jonquera
chosen
La Jonquera is a border town in northeastern Catalonia, Spain, known as a major road and commercial crossing point between Spain and France.
-
B.
Loureiro
Loureiro is a fragrant white grape variety from northern Portugal, known for producing fresh, aromatic wines with citrus and floral notes, especially in the Vinho Verde region.
-
C.
Cedeira
Cedeira is a coastal town and fishing port in the province of A Coruña in Galicia, northwestern Spain, known for its rugged cliffs and Atlantic beaches.
-
D.
Figueira Seca
Figueira Seca is a small village located on the island of Maio in Cape Verde.
-
E.
Jaqueira
Jaqueira is a neighborhood in Recife, Brazil, known for its large urban park and residential character.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c766fb408190a9f073f033652b6f |
completed | April 4, 2026, 8:10 a.m. |
Created at: March 30, 2026, 7:35 p.m.