Triple
T21144223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lameroo |
E521009
|
entity |
| Predicate | distanceFromPinnaroo |
P143034
|
FINISHED |
| Object | approximately 40 kilometres 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 40 kilometres west | Statement: [Lameroo, distanceFromPinnaroo, approximately 40 kilometres west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPinnaroo Context triple: [Lameroo, distanceFromPinnaroo, approximately 40 kilometres west]
-
A.
distanceFromKarratha
Indicates the measured spatial distance between a given entity or location and Karratha.
-
B.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
C.
distanceToWarrnambool_km
Indicates the measured distance, in kilometers, from a given entity or location to Warrnambool.
-
D.
distanceFromMoree
Indicates the spatial distance measured from the reference location Moree to another place or entity.
-
E.
roadDistanceToPortPirie
Indicates the road travel distance between a given location and Port Pirie.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fbb29881909c4036eab46ed440 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:57 p.m.