Triple
T22638934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Park |
E558765
|
entity |
| Predicate | hasStationHouseOn |
P56431
|
FINISHED |
| Object | Milwaukee Avenue |
—
|
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: Milwaukee Avenue | Statement: [Jefferson Park, hasStationHouseOn, Milwaukee Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationHouseOn Context triple: [Jefferson Park, hasStationHouseOn, Milwaukee Avenue]
-
A.
hasStationHouseLocation
chosen
Indicates that a station house is located at or associated with a specific place or geographic location.
-
B.
hasStationHouseType
Indicates the specific type or classification of a station house associated with an entity.
-
C.
isStationHouseOf
Indicates that a particular station building or facility serves as the designated station house for a given station or transit stop.
-
D.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
E.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:04 p.m.