Triple
T34984183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs in the Attic |
E1008895
|
entity |
| Predicate | liveRecordingLocations |
P148477
|
FINISHED |
| Object | various venues in the United States |
—
|
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: various venues in the United States | Statement: [Songs in the Attic, liveRecordingLocations, various venues in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveRecordingLocations Context triple: [Songs in the Attic, liveRecordingLocations, various venues in the United States]
-
A.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
-
B.
recordingLocationTour
chosen
Indicates the place where a tour-related recording (such as a live performance or tour event) was made.
-
C.
includesLiveRecordingFrom
Indicates that something contains or incorporates a live recording sourced from another entity.
-
D.
includesLiveRecordings
Indicates that the subject contains or features recordings captured from live performances rather than studio-produced versions.
-
E.
widelyRecordedIn
Indicates that an event, fact, or phenomenon has been documented or captured in many different records, sources, or media.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.