Triple
T18668715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autovía A-4 |
E456409
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Ocaña |
—
|
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: Ocaña | Statement: [Autovía A-4, passesThrough, Ocaña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocaña Context triple: [Autovía A-4, passesThrough, Ocaña]
-
A.
Ocaña
chosen
Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
-
B.
Ocaña
Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
-
C.
Peralillo
Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
-
D.
Sangüesa
Sangüesa is a historic town in northern Spain’s Navarre region, known for its medieval architecture and role as a stop on the Camino de Santiago pilgrimage route.
-
E.
L'Argentera
L'Argentera is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its rural character and scenic Mediterranean surroundings.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b0502881909ea05f2746163746 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.