Triple
T9879922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am... World Tour |
E240172
|
entity |
| Predicate | recordedAtMultipleLocations |
P91572
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [I Am... World Tour, recordedAtMultipleLocations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedAtMultipleLocations Context triple: [I Am... World Tour, recordedAtMultipleLocations, true]
-
A.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
-
B.
laterRecordedIn
Indicates that the referenced information or event was documented or captured at a later time in the specified source or record.
-
C.
isOftenRecordedWith
Indicates that one entity is frequently documented, captured, or logged at the same time as another entity.
-
D.
reRecordedFrom
Indicates that one recording is a new recording derived from, based on, or made again from an earlier recording.
-
E.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb4146fe881908f9fc553dfca31e1 |
completed | April 2, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd36f112bc81908b473787e702de2f |
completed | April 1, 2026, 3:17 p.m. |
Created at: March 30, 2026, 8:37 p.m.