Triple
T19876880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea, Manhattan |
E477661
|
entity |
| Predicate | streetGridRange |
P137676
|
FINISHED |
| Object | approximately 14th Street to 34th 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: approximately 14th Street to 34th Street | Statement: [Chelsea, Manhattan, streetGridRange, approximately 14th Street to 34th Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetGridRange Context triple: [Chelsea, Manhattan, streetGridRange, approximately 14th Street to 34th Street]
-
A.
streetGridOrientation
Indicates the predominant directional alignment or pattern of streets within a given area or city layout.
-
B.
streetAddressRange
Indicates the span of street address numbers (e.g., from a minimum to a maximum) that are associated with a particular street segment or location.
-
C.
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.
-
D.
roadNumberRange
Indicates that a road is identified by a continuous range of road numbers between a specified minimum and maximum.
-
E.
streetSpan
Indicates that a street physically extends across or along a specified geographic area or segment.
- F. None of above. chosen
Provenance (4 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.