Triple
T23998064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hood Environment |
E594161
|
entity |
| Predicate | hasArtistOriginRegion |
P45545
|
FINISHED |
| Object | East Coast, United States |
—
|
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 Coast, United States | Statement: [Hood Environment, hasArtistOriginRegion, East Coast, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistOriginRegion Context triple: [Hood Environment, hasArtistOriginRegion, East Coast, United States]
-
A.
regionOfArtists
Indicates the geographic area or region associated with the artists.
-
B.
hasCountryArtist
Indicates a relationship where an entity is associated with, represented by, or features a specific country music artist.
-
C.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
D.
performerOrigin
chosen
Indicates that a performer originates from, or is associated with, a particular place or region.
-
E.
typicalArtistOrigin
Indicates that an artist is commonly or characteristically associated with originating from a particular place or region.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d39066f8819096d13bfdd0a047fc |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.