Triple
T25322291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumpter Valley Railroad (heritage railway) |
E634915
|
entity |
| Predicate | originalRailroadGauge |
P5070
|
FINISHED |
| Object | 3 ft (914 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: 3 ft (914 mm) | Statement: [Sumpter Valley Railroad (heritage railway), originalRailroadGauge, 3 ft (914 mm)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRailroadGauge Context triple: [Sumpter Valley Railroad (heritage railway), originalRailroadGauge, 3 ft (914 mm)]
-
A.
railwayGaugeContext
Indicates the specific track gauge standard or measurement that applies to, or is used in, a given railway-related context.
-
B.
usesRailGauge
chosen
Indicates that one entity (typically a railway system or line) operates using the specified rail gauge measurement of the other entity.
-
C.
railStandard
Indicates that something conforms to, uses, or is governed by a particular railway or rail transport standard.
-
D.
hasRailWidth
Indicates that one entity has a specified width measurement for its rail or rails.
-
E.
originalRailway
Indicates that a railway is the first or initial line from which others in a network, route, or system originate or are derived.
- 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 21, 2026, 1:29 p.m.