Triple
T30851490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roseland community area |
E785791
|
entity |
| Predicate | hasHistoricCommercialCorridor |
P112071
|
FINISHED |
| Object | Michigan 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: Michigan Avenue | Statement: [Roseland community area, hasHistoricCommercialCorridor, Michigan Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricCommercialCorridor Context triple: [Roseland community area, hasHistoricCommercialCorridor, Michigan Avenue]
-
A.
isOnHistoricTransportCorridor
Indicates that something is located along or within a transportation route that has recognized historical significance.
-
B.
hasHistoricStreet
Indicates that an entity is associated with or located on a street that has recognized historical significance.
-
C.
hasCommercialCorridorAlong
chosen
Indicates that a place contains a continuous stretch of commercial activity or businesses situated along a specified linear feature, such as a street or route.
-
D.
hasHistoricStreetscape
Indicates that an entity possesses or is characterized by a streetscape of recognized historical significance or heritage value.
-
E.
hasHistoricTransportLink
Indicates that there is or was a historically significant transportation connection between the related entities.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: April 29, 2026, 8:46 p.m.