Triple
T36383620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West 137th Street |
E896125
|
entity |
| Predicate | hasStreetGridRole |
P145907
|
FINISHED |
| Object | crosstown street |
—
|
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: crosstown street | Statement: [West 137th Street, hasStreetGridRole, crosstown street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetGridRole Context triple: [West 137th Street, hasStreetGridRole, crosstown street]
-
A.
hasStreetGridFeature
Indicates that a location or area possesses a specific characteristic or element of a street grid layout, such as a particular pattern, structure, or feature of its road network.
-
B.
hasStreetGridContext
Indicates that one entity is situated within, influenced by, or characterized in relation to the street grid pattern or layout of another entity.
-
C.
hasStreetGridPattern
Indicates that an area’s street layout follows a structured, grid-like pattern of intersecting roads.
-
D.
hasStreetHierarchyRole
chosen
Indicates that an entity holds a specific functional or positional role within a defined street hierarchy.
-
E.
hasStreetNumberingRole
Indicates that an entity serves a specific function or responsibility related to assigning, managing, or representing street numbers within an addressing system.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:10 p.m.