Triple
T8596268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeast Martin Luther King Jr Boulevard |
E203553
|
entity |
| Predicate | hasStreetClassification |
P1019
|
FINISHED |
| Object | major city traffic 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: major city traffic street | Statement: [Northeast Martin Luther King Jr Boulevard, hasStreetClassification, major city traffic street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetClassification Context triple: [Northeast Martin Luther King Jr Boulevard, hasStreetClassification, major city traffic street]
-
A.
hasStreetLevel
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
-
B.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
C.
roadType
chosen
Indicates the classification or category of a road based on its functional or physical characteristics.
-
D.
streetOrAreaType
Indicates the specific kind or classification of a street or area (such as avenue, boulevard, district, or zone) associated with an entity.
-
E.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.