Triple
T13501565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuross Head |
E320903
|
entity |
| Predicate | distanceToNarooma |
P110671
|
FINISHED |
| Object | approximately 20 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: approximately 20 kilometres north | Statement: [Tuross Head, distanceToNarooma, approximately 20 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNarooma Context triple: [Tuross Head, distanceToNarooma, approximately 20 kilometres north]
-
A.
distanceFromMurwillumbah
Indicates the spatial distance separating an entity from the location of Murwillumbah.
-
B.
distanceFromWangaratta
Indicates the measured distance between a given location and the town of Wangaratta.
-
C.
distanceToByronBay
Indicates the spatial distance between a given location or entity and Byron Bay.
-
D.
distanceFromGundagai
Indicates the spatial distance separating something from the location of Gundagai.
-
E.
distanceFromTaree
Indicates the measured distance between a given location and the place named Taree.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.