Triple
T25448069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Varaita |
E637694
|
entity |
| Predicate | hasHighestPass |
P26814
|
FINISHED |
| Object | Colle dell’Agnello |
—
|
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 dell’Agnello | Statement: [Val Varaita, hasHighestPass, Colle dell’Agnello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestPass Context triple: [Val Varaita, hasHighestPass, Colle dell’Agnello]
-
A.
hasHighest
Indicates that one entity possesses the greatest value, rank, or level in a specified attribute or set compared to all others.
-
B.
highestPass
chosen
Indicates that an entity has achieved the greatest passing value, score, or level among a set of compared entities.
-
C.
highestPassName
Indicates the name of the entity that achieved the highest passing result among a set of evaluated entities.
-
D.
hasMaximumGrade
Indicates that an entity possesses the highest possible grade or score within a defined grading or evaluation system.
-
E.
hasHighestPoints
Indicates that the subject entity possesses the greatest number of points compared to all relevant others in the given context.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 21, 2026, 2:02 p.m.