Triple
T7295278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Beacon |
E164504
|
entity |
| Predicate | inclineRailwayStatus |
P41715
|
FINISHED |
| Object | no longer in operation |
—
|
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: no longer in operation | Statement: [Mount Beacon, inclineRailwayStatus, no longer in operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inclineRailwayStatus Context triple: [Mount Beacon, inclineRailwayStatus, no longer in operation]
-
A.
railStatus
chosen
Indicates the current operational condition or state of a rail-related entity (such as a track, line, or service) within the system.
-
B.
isOnRailway
Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
-
C.
railroadGrade
Indicates that one entity is at the elevation or level of a railroad track or crossing relative to another entity.
-
D.
railwayLineNow
Indicates that a previously existing railway line has been replaced, succeeded, or is currently represented by a new or different railway line.
-
E.
railLineStatusAfterward
Indicates the condition or operational status of a rail line after a specified event or time period has occurred.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8d0c6c8190b32cd08b9a5d96cc |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.