Triple
T10215842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Routeburn Falls Hut |
E242438
|
entity |
| Predicate | trailSection |
P39694
|
FINISHED |
| Object | eastern side of Routeburn Track |
—
|
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: eastern side of Routeburn Track | Statement: [Routeburn Falls Hut, trailSection, eastern side of Routeburn Track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailSection Context triple: [Routeburn Falls Hut, trailSection, eastern side of Routeburn Track]
-
A.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
B.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
-
C.
streetSectionOf
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
-
D.
transportSegment
Indicates a distinct portion of a larger journey or route during which something or someone is transported from one point to another.
-
E.
trailAssociation
chosen
Indicates an associative relationship between entities where one is contextually or functionally linked to a trail (such as being located on, connected to, or part of that trail).
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:05 a.m.