Triple
T36497901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 40th Street–Lowery Street |
E899241
|
entity |
| Predicate | hasCenterExpressTrack |
P74866
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [40th Street–Lowery Street, hasCenterExpressTrack, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenterExpressTrack Context triple: [40th Street–Lowery Street, hasCenterExpressTrack, yes]
-
A.
hasCenterExpressTracks
chosen
Indicates that the subject location or facility contains express railway tracks running through its central area or core.
-
B.
hasExpressTracks
Indicates that a transportation route or facility includes tracks designated for express service, allowing faster travel with fewer stops than regular tracks.
-
C.
hasUPExpressService
Indicates that a location or entity is served by the UP Express (Union Pearson Express) transit service.
-
D.
primaryExpressService
Indicates that an entity provides or is associated with the main, prioritized express-level service in a given context.
-
E.
hasCenterTrackUsage
Indicates that an entity utilizes or is assigned to a central track within a multi-track system or layout.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:10 p.m.