Triple
T26090799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethanga |
E658113
|
entity |
| Predicate | distanceToAlbury |
P27948
|
FINISHED |
| Object | approximately 30 kilometres |
—
|
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 30 kilometres | Statement: [Bethanga, distanceToAlbury, approximately 30 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAlbury Context triple: [Bethanga, distanceToAlbury, approximately 30 kilometres]
-
A.
distanceFromAlbury
chosen
Indicates the spatial distance between a given entity or location and the place named Albury.
-
B.
distanceToAlburyVillage
Indicates the spatial distance between a given location and Albury Village.
-
C.
distanceToGoulburn
Indicates the spatial distance between a given entity or location and the place named Goulburn.
-
D.
distanceToWarrnambool_km
Indicates the measured distance, in kilometers, from a given entity or location to Warrnambool.
-
E.
distanceToMoruya
Indicates the measured or calculated distance between a given entity or location and Moruya.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 26, 2026, 7:47 p.m.