Triple
T4728557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skokie Swift |
E104945
|
entity |
| Predicate | usesTrack |
P27244
|
FINISHED |
| Object | former Chicago North Shore and Milwaukee Railroad right-of-way |
—
|
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: former Chicago North Shore and Milwaukee Railroad right-of-way | Statement: [Skokie Swift, usesTrack, former Chicago North Shore and Milwaukee Railroad right-of-way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTrack Context triple: [Skokie Swift, usesTrack, former Chicago North Shore and Milwaukee Railroad right-of-way]
-
A.
usesTrackage
chosen
Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
-
B.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
C.
trackUsage
Indicates that one entity monitors and records how another entity or resource is being used over time.
-
D.
usesTrackOwnedBy
Indicates that an entity makes use of a track (e.g., route, path, or rail line) that is owned by another specified entity.
-
E.
trackOn
Indicates that one entity is physically positioned or moving along the surface or path of another, like a vehicle on a track or rails.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.