Triple
T14220989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queensland rail network at Wallangarra |
E352489
|
entity |
| Predicate | narrowGaugeWidth |
P5070
|
FINISHED |
| Object | 1067 mm |
—
|
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: 1067 mm | Statement: [Queensland rail network at Wallangarra, narrowGaugeWidth, 1067 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrowGaugeWidth Context triple: [Queensland rail network at Wallangarra, narrowGaugeWidth, 1067 mm]
-
A.
railwayGaugeContext
Indicates the specific track gauge standard or measurement that applies to, or is used in, a given railway-related context.
-
B.
hasRailWidth
Indicates that one entity has a specified width measurement for its rail or rails.
-
C.
usesRailGauge
chosen
Indicates that one entity (typically a railway system or line) operates using the specified rail gauge measurement of the other entity.
-
D.
nutWidthInches
Indicates the width of a nut measured in inches.
-
E.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6213801c8190a47705cd890b9ae7 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.