Triple
T36808658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyagarah Tea Tree Farm |
E909527
|
entity |
| Predicate | approximateDistanceToByronBay |
P78736
|
FINISHED |
| Object | about 10 kilometres north |
—
|
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: about 10 kilometres north | Statement: [Tyagarah Tea Tree Farm, approximateDistanceToByronBay, about 10 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceToByronBay Context triple: [Tyagarah Tea Tree Farm, approximateDistanceToByronBay, about 10 kilometres north]
-
A.
distanceToByronBay
chosen
Indicates the spatial distance between a given location or entity and Byron Bay.
-
B.
distanceFromSydney
Indicates the spatial distance between a given location and the city of Sydney.
-
C.
distanceFromBrisbane
Indicates the measured distance between a given location or entity and the city of Brisbane.
-
D.
distanceToHerveyBay_km
Indicates the distance, measured in kilometers, between a given location and Hervey Bay.
-
E.
distanceToDarwin
Indicates the spatial distance between a given entity’s location and the location of Darwin.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:13 p.m.