Triple
T29414291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madfly |
E745980
|
entity |
| Predicate | activeInLocation |
P19850
|
FINISHED |
| Object | Atlanta music scene |
—
|
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: Atlanta music scene | Statement: [Madfly, activeInLocation, Atlanta music scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeInLocation Context triple: [Madfly, activeInLocation, Atlanta music scene]
-
A.
activeInTerritory
chosen
Indicates that an entity conducts operations, activities, or maintains a presence within a specified geographic territory.
-
B.
hasActLocation
Indicates that an action or event occurs at, or is associated with, a specific location.
-
C.
activeAt
Indicates that an entity is functioning, valid, or in effect during a specified time or at a particular location or context.
-
D.
activeInSector
Indicates that an entity conducts operations or has significant activity within a specified economic or industry sector.
-
E.
activeAround
Indicates that an entity is performing actions or exhibiting activity in the vicinity of another entity or location.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 2:59 p.m.