Triple
T6574997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renmark |
E155537
|
entity |
| Predicate | distanceFromMildura |
P27721
|
FINISHED |
| Object | approximately 140 km west |
—
|
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 140 km west | Statement: [Renmark, distanceFromMildura, approximately 140 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMildura Context triple: [Renmark, distanceFromMildura, approximately 140 km west]
-
A.
distanceToMildura_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and Mildura.
-
B.
distanceFromAlbury
Indicates the spatial distance between a given entity or location and the place named Albury.
-
C.
distanceFromGeelong
Indicates the spatial distance between a given entity or location and Geelong.
-
D.
directionFromMildura
Indicates the compass direction or bearing of one location when measured from Mildura.
-
E.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.