Triple
T1121465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Burley Griffin |
E24619
|
entity |
| Predicate | hasWalkingTrail |
P3625
|
FINISHED |
| Object | Lake Burley Griffin shoreline path |
—
|
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: Lake Burley Griffin shoreline path | Statement: [Lake Burley Griffin, hasWalkingTrail, Lake Burley Griffin shoreline path]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWalkingTrail Context triple: [Lake Burley Griffin, hasWalkingTrail, Lake Burley Griffin shoreline path]
-
A.
hasHikingTrailToTop
Indicates that there exists a hiking trail leading from a starting location to the top or summit of a specified destination.
-
B.
hasRailTrail
Indicates that one location or entity possesses, includes, or is connected by a rail trail (a recreational trail converted from or running along a former or existing railway corridor) to another location or entity.
-
C.
hasNearbyTrailheadFor
Indicates that one location has a trailhead situated close enough to serve as a convenient access point for another location.
-
D.
hasNearbyTrail
Indicates that one entity is located close to or within a short distance of a trail.
-
E.
hasTrail
chosen
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.