Triple
T10743638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Shower Falls |
E253389
|
entity |
| Predicate | loopWalkLength |
P44364
|
FINISHED |
| Object | approximately 6.6 km Wonga Walk loop (approximate) |
—
|
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: approximately 6.6 km Wonga Walk loop (approximate) | Statement: [Crystal Shower Falls, loopWalkLength, approximately 6.6 km Wonga Walk loop (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loopWalkLength Context triple: [Crystal Shower Falls, loopWalkLength, approximately 6.6 km Wonga Walk loop (approximate)]
-
A.
loopType
Indicates the specific kind or category of loop structure or iteration pattern used in a process or control flow.
-
B.
navigationSpanLength
Indicates the distance or extent covered by a navigation segment or span within a route or path.
-
C.
networkLength
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
D.
jumpLength
Indicates the distance covered by an entity in a single jump.
-
E.
circuitLength
chosen
Indicates the total measured length or distance of a circuit or closed path.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b5dd8c81908f1d9b126e4c3ae7 |
completed | April 9, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.