Triple
T12522148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norseman |
E299343
|
entity |
| Predicate | roadDistanceToAdelaide |
P27723
|
FINISHED |
| Object | approximately 2000 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 2000 kilometres | Statement: [Norseman, roadDistanceToAdelaide, approximately 2000 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToAdelaide Context triple: [Norseman, roadDistanceToAdelaide, approximately 2000 kilometres]
-
A.
distanceToAdelaide_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and Adelaide.
-
B.
directionFromAdelaide
Indicates the directional relationship of one location as measured outward from Adelaide as the point of reference.
-
C.
typicalJourneyTimeAdelaideDarwin
Indicates the usual or average amount of time it takes to travel from Adelaide to Darwin.
-
D.
distanceFromAlbury
Indicates the spatial distance between a given entity or location and the place named Albury.
-
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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.