Triple
T18668717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autovía A-4 |
E456409
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Bailén |
—
|
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: Bailén | Statement: [Autovía A-4, passesThrough, Bailén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bailén Context triple: [Autovía A-4, passesThrough, Bailén]
-
A.
Bailén
chosen
Bailén is a town in the province of Jaén in Andalusia, Spain, historically known for the 1808 Battle of Bailén during the Peninsular War.
-
B.
La Brega
La Brega is a narrative podcast exploring Puerto Rican history, culture, and politics through personal stories and investigative reporting.
-
C.
Albuhera
Albuhera is a village in southwestern Spain that was the site of a major 1811 Peninsular War battle between British-led allied forces and the French.
-
D.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
E.
Balanjar
Balanjar was an early medieval city in the North Caucasus that served as one of the principal political and military centers of the Khazar Khaganate.
- 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.