Triple
T27452502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burrill Lake |
E692484
|
entity |
| Predicate | distanceToUlladulla |
P200063
|
FINISHED |
| Object | approximately 5 kilometres south |
—
|
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 5 kilometres south | Statement: [Burrill Lake, distanceToUlladulla, approximately 5 kilometres south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToUlladulla Context triple: [Burrill Lake, distanceToUlladulla, approximately 5 kilometres south]
-
A.
distanceFromUlladullaCBD
Indicates the spatial distance separating a given location from the central business district of Ulladulla.
-
B.
distanceToGoulburn
Indicates the spatial distance between a given entity or location and the place named Goulburn.
-
C.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
D.
distanceFromAlbury
Indicates the spatial distance between a given entity or location and the place named Albury.
-
E.
distanceFromGundagai
Indicates the spatial distance separating something from the location of Gundagai.
- 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_69ef5206c9248190b5975c2a7f9d229c |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ff6fba1a5c8190a660279a6271d785 |
completed | May 9, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ff6f59388c8190a7d6ab7bc7705bc0 |
completed | May 9, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69ff6fb9691c819082ee2f3c648b7dc1 |
completed | May 9, 2026, 5:32 p.m. |
Created at: April 27, 2026, 12:48 p.m.