Triple
T14855949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wineglass Bay Lookout |
E349349
|
entity |
| Predicate | hasTrackFeatures |
P115884
|
FINISHED |
| Object | steep sections |
—
|
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: steep sections | Statement: [Wineglass Bay Lookout, hasTrackFeatures, steep sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackFeatures Context triple: [Wineglass Bay Lookout, hasTrackFeatures, steep sections]
-
A.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
B.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
C.
hasTailTracks
Indicates that an entity exhibits or leaves behind tail-shaped tracks or imprints as evidence of its movement or presence.
-
D.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
E.
hasTwoTracks
Indicates that the subject possesses or is associated with exactly two distinct tracks or pathways.
- F. None of above. chosen
Provenance (4 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44458ec8190be295a95f5daab14 |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:54 a.m.