Triple
T26784317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galleria stradale del Colle di Tenda |
E670336
|
entity |
| Predicate | locatedOnPass |
P2409
|
FINISHED |
| Object | Colle di Tenda pass |
—
|
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: Colle di Tenda pass | Statement: [Galleria stradale del Colle di Tenda, locatedOnPass, Colle di Tenda pass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnPass Context triple: [Galleria stradale del Colle di Tenda, locatedOnPass, Colle di Tenda pass]
-
A.
locatedOnRouteTo
Indicates that one entity lies along the path or course taken when traveling from a starting point to a specified destination.
-
B.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
locatedAlong
chosen
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
D.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- F. None of above.
Provenance (3 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: April 27, 2026, 4:11 a.m.