Triple
T29132655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexington Avenue between 25th and 26th Streets |
E738420
|
entity |
| Predicate | crossStreetAtNorthernEnd |
P72012
|
FINISHED |
| Object | East 26th Street |
—
|
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: East 26th Street | Statement: [Lexington Avenue between 25th and 26th Streets, crossStreetAtNorthernEnd, East 26th Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossStreetAtNorthernEnd Context triple: [Lexington Avenue between 25th and 26th Streets, crossStreetAtNorthernEnd, East 26th Street]
-
A.
crossesStreet
Indicates that an entity moves from one side of a street to the other, traversing the street’s width.
-
B.
roadTerminusOf
Indicates that a road ends at, or has its terminal point at, the referenced location or route.
-
C.
hasCrossStreets
chosen
Indicates that a location is situated at or near the intersection of the specified streets.
-
D.
nearJunctionOf
Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
-
E.
avenueRadiatingFrom
Indicates that one avenue extends outward from and is oriented away from another central point or thoroughfare, like a spoke radiating from a hub.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 11:32 a.m.