Triple
T3325130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockinbingal |
E69895
|
entity |
| Predicate | distanceTo_Cootamundra |
P47297
|
FINISHED |
| Object | approximately 23 km northwest |
—
|
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 23 km northwest | Statement: [Stockinbingal, distanceTo_Cootamundra, approximately 23 km northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo_Cootamundra Context triple: [Stockinbingal, distanceTo_Cootamundra, approximately 23 km northwest]
-
A.
distanceFromDarwin
Indicates the spatial distance between an entity and the location Darwin.
-
B.
distanceToDarwin
Indicates the spatial distance between a given entity’s location and the location of Darwin.
-
C.
distanceToAdelaide_km
Indicates the physical distance, measured in kilometers, between a given location and Adelaide.
-
D.
distanceFromAlbury
Indicates the spatial distance between a given entity or location and the place named Albury.
-
E.
distanceFromCanberra
Indicates the spatial distance between a given location and the city of Canberra.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16ca13c8190aea8caed8ccd9b88 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.