Triple
T18875538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autovía CM-42 |
E461673
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Tomelloso |
—
|
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: Tomelloso | Statement: [Autovía CM-42, connects, Tomelloso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomelloso Context triple: [Autovía CM-42, connects, Tomelloso]
-
A.
Tomelloso
chosen
Tomelloso is a town in Spain’s Castilla-La Mancha region, known for its extensive wine production and agricultural economy.
-
B.
Nocciano
Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
-
C.
Mulazzo
Mulazzo is a small historic municipality in Tuscany, central Italy, known for its medieval villages and scenic position in the Lunigiana area.
-
D.
Tolombón
Tolombón is an archaeological site in northwestern Argentina associated with the pre-Columbian Calchaquí culture.
-
E.
Montignoso
Montignoso is a municipality in Tuscany, central Italy, known for its coastal location near the Ligurian Sea and its proximity to the Apuan Alps.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3ce07788190a179705eb1b6c824 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.