Triple
T4222441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHI |
E94372
|
entity |
| Predicate | associatedWithStationRole |
P55401
|
FINISHED |
| Object | primary intercity rail hub in Chicago |
—
|
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: primary intercity rail hub in Chicago | Statement: [CHI, associatedWithStationRole, primary intercity rail hub in Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStationRole Context triple: [CHI, associatedWithStationRole, primary intercity rail hub in Chicago]
-
A.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
B.
associatedStationCategory
Indicates that one entity is linked to, or classified under, a particular category of station.
-
C.
networkAffiliationOfStation
Indicates that a particular broadcast station is affiliated with, or part of, a specific television or radio network.
-
D.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
E.
associatedWithManager
Indicates that an entity has a managerial connection or relationship with a specific manager.
- F. None of above. chosen
Provenance (4 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.