Triple
T22456269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canfranc |
E555124
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Canfranc-Estación |
—
|
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: Canfranc-Estación | Statement: [Canfranc, hasPart, Canfranc-Estación]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canfranc-Estación Context triple: [Canfranc, hasPart, Canfranc-Estación]
-
A.
Canfranc
chosen
Canfranc is a small municipality in the Aragonese Pyrenees of northeastern Spain, historically known for its grand international railway station near the French border.
-
B.
Palos de la Frontera
Palos de la Frontera is a historic port town in southwestern Spain best known as the place from which Christopher Columbus set sail on his first voyage to the Americas in 1492.
-
C.
Pau-Ferro
Pau-Ferro is a neighborhood in the city of Recife, Brazil.
-
D.
Colomera
Colomera is a small municipality in the province of Granada, Andalusia, Spain, known for its rural landscape and traditional Andalusian character.
-
E.
Estarreja
Estarreja is a municipality in Portugal’s Aveiro District, known for its industrial activity and proximity to the Ria de Aveiro lagoon.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4f19708190a50f29598fb1a204 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.