Triple
T19199115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | …from the Hungry i |
E470055
|
entity |
| Predicate | recordingLocationType |
P117072
|
FINISHED |
| Object | nightclub |
—
|
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: nightclub | Statement: […from the Hungry i, recordingLocationType, nightclub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingLocationType Context triple: […from the Hungry i, recordingLocationType, nightclub]
-
A.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
-
B.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
-
C.
recordedAtVenueType
chosen
Indicates that an event or recording took place at a venue of a specified type (e.g., studio, concert hall, stadium).
-
D.
recordingMethod
Indicates the technique or process used to capture or record something (such as data, audio, or video).
-
E.
mediaLocation
Indicates the physical or digital place where a media item is stored, accessed, or made available.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9967ac081909106aa5ea447e94d |
completed | April 20, 2026, 10:01 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.