Triple
T23285100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verzasca Dam |
E588963
|
entity |
| Predicate | stuntType |
P45832
|
FINISHED |
| Object | bungee jump from dam crest |
—
|
LITERAL FINISHED |
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: bungee jump from dam crest | Statement: [Verzasca Dam, stuntType, bungee jump from dam crest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stuntType Context triple: [Verzasca Dam, stuntType, bungee jump from dam crest]
-
A.
hasStunts
chosen
Indicates that one entity performs, includes, or is associated with stunt actions for another entity or context.
-
B.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
-
C.
ridingSpecialty
Indicates that one entity has a particular area of expertise or focus related to riding (e.g., a specific riding style, discipline, or type).
-
D.
driftType
Indicates the manner or category of deviation or change from an expected or original state.
-
E.
typicalStallType
Indicates the usual or most common type or category of stall associated with an entity.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964600888190b40ecbefdc8aec64 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:59 p.m.