Triple
T21091383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Lowe Railway historical area |
E519645
|
entity |
| Predicate | originalRailwayUse |
P142804
|
FINISHED |
| Object | scenic mountain railway |
—
|
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: scenic mountain railway | Statement: [Mount Lowe Railway historical area, originalRailwayUse, scenic mountain railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRailwayUse Context triple: [Mount Lowe Railway historical area, originalRailwayUse, scenic mountain railway]
-
A.
railwayUse
Indicates that something is used as, or functions in the capacity of, a railway or rail-based transportation facility.
-
B.
formerRailUse
Indicates that an entity previously served a particular railway-related function or purpose, but no longer does so.
-
C.
primaryRailUse
Indicates the main or predominant purpose for which a rail line, segment, or facility is used (e.g., passenger, freight, or mixed traffic).
-
D.
originalRailway
Indicates that a railway is the first or initial line from which others in a network, route, or system originate or are derived.
-
E.
heritageRailwayUse
Indicates that a railway line, infrastructure, or service is used for heritage or historical purposes rather than for regular commercial transport.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ea7f881909db83bf6961b41ec |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:51 p.m.