Triple
T33043660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilkes Station |
E845535
|
entity |
| Predicate | distanceToCaseyStation |
P206331
|
FINISHED |
| Object | about 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: about 2 kilometres | Statement: [Wilkes Station, distanceToCaseyStation, about 2 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCaseyStation Context triple: [Wilkes Station, distanceToCaseyStation, about 2 kilometres]
-
A.
distanceFromMcMurdoStation
Indicates the measured spatial distance between a given location or object and McMurdo Station.
-
B.
distanceFromCoonoor
Indicates the measured distance between a given location and the place named Coonoor.
-
C.
distanceFromParkes
Indicates the measured distance between a given entity or location and Parkes.
-
D.
distanceToCoonabarabran
Indicates the spatial distance between a given entity or location and the town of Coonabarabran.
-
E.
distanceFromMaranguGate
Indicates the spatial distance measured from the Marangu Gate to a given location or entity.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:24 a.m.