Triple
T32112491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Key Summit Track |
E820152
|
entity |
| Predicate | isPopularStopOn |
P116020
|
FINISHED |
| Object | Te Anau to Milford Sound route |
—
|
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: Te Anau to Milford Sound route | Statement: [Key Summit Track, isPopularStopOn, Te Anau to Milford Sound route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopularStopOn Context triple: [Key Summit Track, isPopularStopOn, Te Anau to Milford Sound route]
-
A.
isOneOfBusiestStopsOn
Indicates that a stop ranks among the most heavily used or frequently served stops on a given route or line.
-
B.
isPassengerStop
Indicates that a location serves as a designated place where passengers may board or alight from a vehicle or transport service.
-
C.
hasStopNear
Indicates that one entity has a stop or stopping point located in close proximity to another entity.
-
D.
isPublicTransportStation
Indicates that a location functions as a station or stop used by public transportation services such as buses, trains, trams, or subways.
-
E.
isMajorStopForTourists
chosen
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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b90568648190ac60ea9e5c686dfe |
completed | May 3, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:27 a.m.