Triple
T29838027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Underground 024: Reykjavik |
E757707
|
entity |
| Predicate | disc1Style |
P167651
|
FINISHED |
| Object | downtempo and atmospheric |
—
|
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: downtempo and atmospheric | Statement: [Global Underground 024: Reykjavik, disc1Style, downtempo and atmospheric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disc1Style Context triple: [Global Underground 024: Reykjavik, disc1Style, downtempo and atmospheric]
-
A.
discussionStyle
Indicates the manner or approach with which one party conducts or participates in a discussion with another.
-
B.
disc
Indicates that one entity discourages, dissuades, or expresses disapproval toward another entity’s action, plan, or state.
-
C.
discourseType
Indicates the specific kind or category of discourse (such as narrative, argument, explanation, or dialogue) that characterizes a given communicative act or text.
-
D.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
E.
discFeature
Indicates that one entity is a distinguishing characteristic or feature of another entity.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6760847b48190a5f0548f87faf055 |
completed | May 2, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66bd123108190b451eb6e23842adb |
completed | May 2, 2026, 9:25 p.m. |
Created at: April 29, 2026, 5:38 p.m.