Triple
T35346586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiwiana Town |
E1020756
|
entity |
| Predicate | touristStopOnRoute |
P56381
|
FINISHED |
| Object | Waitomo Caves–Waikato travel route |
—
|
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: Waitomo Caves–Waikato travel route | Statement: [Kiwiana Town, touristStopOnRoute, Waitomo Caves–Waikato travel route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristStopOnRoute Context triple: [Kiwiana Town, touristStopOnRoute, Waitomo Caves–Waikato travel route]
-
A.
tourStopOf
chosen
Indicates that one entity is a stop or scheduled visit location within the itinerary or route of another entity’s tour.
-
B.
trailStopOn
Indicates that one entity stops or terminates at the endpoint of a trail or path associated with another entity.
-
C.
isScenicStopOn
Indicates that a location serves as a designated scenic viewpoint or attraction situated along a particular route or path.
-
D.
tourStartingPoint
Indicates the location or point from which a tour begins.
-
E.
isMajorStopForTourists
Indicates that a location is a primary or frequently visited destination for tourists.
- 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.