Triple
T28067081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiumelatte river |
E709282
|
entity |
| Predicate | hasTouristPath |
P167071
|
FINISHED |
| Object | trail from Varenna to source |
—
|
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: trail from Varenna to source | Statement: [Fiumelatte river, hasTouristPath, trail from Varenna to source]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTouristPath Context triple: [Fiumelatte river, hasTouristPath, trail from Varenna to source]
-
A.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
B.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
C.
hasTourElement
Indicates that something includes or is associated with a specific element or component of a tour.
-
D.
hasTouristTrails
chosen
Indicates that an entity contains or is equipped with designated paths or routes intended for use by tourists.
-
E.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 8:43 p.m.