Triple
T37417869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra fare zones |
E929765
|
entity |
| Predicate | referenceStation |
P70867
|
FINISHED |
| Object | Chicago Union Station |
—
|
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: Chicago Union Station | Statement: [Metra fare zones, referenceStation, Chicago Union Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceStation Context triple: [Metra fare zones, referenceStation, Chicago Union Station]
-
A.
referenceStationFunction
chosen
Indicates that one entity serves as a functional reference station used to support or calibrate another entity’s operations or measurements.
-
B.
sisterStation
Indicates that two broadcast stations are related as counterparts, typically serving different areas or platforms under common ownership or affiliation.
-
C.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
D.
otherMainStations
Indicates that an entity is associated with additional primary stations beyond its main or primary station.
-
E.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 3, 2026, 4:16 p.m.