Triple
T22606623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matarraña comarca |
E566578
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | La Franja |
—
|
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: La Franja | Statement: [Matarraña comarca, partOf, La Franja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Franja Context triple: [Matarraña comarca, partOf, La Franja]
-
A.
La Franja
La Franja is the popular nickname of Mexican football club Puebla FC, referencing the distinctive diagonal stripe on the team’s jersey.
-
B.
La Franja
chosen
La Franja is a Catalan-speaking border region of eastern Aragon in Spain, known for its linguistic and cultural ties to Catalonia.
-
C.
La Frontera
La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
-
D.
Las Banderillas
Las Banderillas is a prominent mountain peak in Spain’s Sierra de Segura range, known for its rugged terrain and panoramic views over the surrounding natural park.
-
E.
Fronteira
Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:54 p.m.