Triple
T38491707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devil's Nose |
E918069
|
entity |
| Predicate | railwayPassesThrough |
P848
|
FINISHED |
| Object | Ecuadorian Trans-Andean Railway |
—
|
NE NERFINISHED |
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: Ecuadorian Trans-Andean Railway | Statement: [Devil's Nose, railwayPassesThrough, Ecuadorian Trans-Andean Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayPassesThrough Context triple: [Devil's Nose, railwayPassesThrough, Ecuadorian Trans-Andean Railway]
-
A.
railwayLine
chosen
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
B.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
-
C.
countryRailConnection
Indicates that there is a railway connection or service linking two countries.
-
D.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
E.
railwayRunsAlong
Indicates that a railway line extends parallel to and in close proximity with another feature or route for a significant distance.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:31 p.m.