Triple
T20725347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 29 |
E509419
|
entity |
| Predicate | usesTrackGaugeStandard |
P122654
|
FINISHED |
| Object | Swedish 891 mm narrow gauge standard |
—
|
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: Swedish 891 mm narrow gauge standard | Statement: [Line 29, usesTrackGaugeStandard, Swedish 891 mm narrow gauge standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTrackGaugeStandard Context triple: [Line 29, usesTrackGaugeStandard, Swedish 891 mm narrow gauge standard]
-
A.
trackGauge
Indicates the distance between the inner faces of the rails in a railway track system.
-
B.
formerTrackGauge
Indicates that an entity previously had a specified track gauge, which has since been changed or is no longer in use.
-
C.
trackGaugeOptions
Indicates the available or applicable gauge (measurement) configurations that can be used for a given track.
-
D.
nonStandardGauge
chosen
Indicates that the gauge used in a railway or track segment deviates from the standard track gauge dimension.
-
E.
gaugeType
Indicates the specific kind or category of gauge associated with an entity or measurement.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e7aabc819084f9e9fd45e877fd |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:29 p.m.