Triple
T22889795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenferrie railway station |
E567704
|
entity |
| Predicate | distanceFromSouthernCross |
P150139
|
FINISHED |
| Object | approximately 7.2 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 7.2 kilometres | Statement: [Glenferrie railway station, distanceFromSouthernCross, approximately 7.2 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSouthernCross Context triple: [Glenferrie railway station, distanceFromSouthernCross, approximately 7.2 kilometres]
-
A.
distanceFromSydney
Indicates the spatial distance between a given location and the city of Sydney.
-
B.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
C.
distanceFromDarwin
Indicates the spatial distance between an entity and the location Darwin.
-
D.
distanceToCoonabarabran
Indicates the spatial distance between a given entity or location and the town of Coonabarabran.
-
E.
distanceToAustralia
Indicates the measured or estimated spatial distance between a given entity and Australia.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc479d48190a8218eceaebd6cc8 |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:40 p.m.