Triple
T34739831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 90th Street–Elmhurst Avenue |
E1001463
|
entity |
| Predicate | hasStreetStair |
P22592
|
FINISHED |
| Object | stair to northwest corner of 90th Street and Roosevelt Avenue |
—
|
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: stair to northwest corner of 90th Street and Roosevelt Avenue | Statement: [90th Street–Elmhurst Avenue, hasStreetStair, stair to northwest corner of 90th Street and Roosevelt Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetStair Context triple: [90th Street–Elmhurst Avenue, hasStreetStair, stair to northwest corner of 90th Street and Roosevelt Avenue]
-
A.
hasStairway
chosen
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
B.
hasCanopiesAtStreetStairs
Indicates that canopies are present at the locations of street-level stairways.
-
C.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
D.
hasStreetLevel
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
-
E.
hasStreetFront
Indicates that one entity directly borders or faces onto a particular street along its frontage.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: May 3, 2026, 3:59 p.m.