Triple
T33102526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio Avenue |
E847091
|
entity |
| Predicate | hasMajorCrossStreet |
P12328
|
FINISHED |
| Object | Westwood Boulevard |
—
|
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: Westwood Boulevard | Statement: [Ohio Avenue, hasMajorCrossStreet, Westwood Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCrossStreet Context triple: [Ohio Avenue, hasMajorCrossStreet, Westwood Boulevard]
-
A.
isMajorCrosstownRoute
Indicates that a route serves as a primary thoroughfare connecting significant areas across a town or city.
-
B.
hasMajorCrossing
chosen
Indicates that one entity has a significant or primary intersection or crossing with another entity.
-
C.
hasCrossStreets
Indicates that a location is situated at or near the intersection of the specified streets.
-
D.
isMajorCommercialStreetOf
Indicates that a street serves as a primary, heavily used route for commercial activity within a specified area or locality.
-
E.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00c07b302081908bf9755f8fdbc36e |
completed | May 10, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_6a00bfffb168819084b65804d601896d |
completed | May 10, 2026, 5:27 p.m. |
Created at: May 1, 2026, 1:26 a.m.