Triple
T32995472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troutman Street |
E844215
|
entity |
| Predicate | hasStreetArtConcentration |
P165144
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Troutman Street, hasStreetArtConcentration, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetArtConcentration Context triple: [Troutman Street, hasStreetArtConcentration, high]
-
A.
hasArtDistrict
Indicates that a place or region contains or is associated with a designated art district area.
-
B.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
C.
streetArtHotspot
chosen
Indicates a location is known for having a notable concentration of street art or graffiti activity.
-
D.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
E.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: May 1, 2026, 1:22 a.m.