Triple
T32660514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Spent in Los Angeles |
E834985
|
entity |
| Predicate | isTitleTrackFromCity |
P175019
|
FINISHED |
| Object | Los Angeles |
—
|
NE NERFINISHED |
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: Los Angeles | Statement: [Time Spent in Los Angeles, isTitleTrackFromCity, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTitleTrackFromCity Context triple: [Time Spent in Los Angeles, isTitleTrackFromCity, Los Angeles]
-
A.
isTitleTrack
Indicates that a song or track shares the same title as the album, film, or larger work it belongs to.
-
B.
isTitleTrackFromTour
Indicates that a song serves as the title track associated with a specific tour.
-
C.
isTitleTrackStyle
Indicates that a track’s style or genre matches or characterizes the overall style of the title track of a release.
-
D.
isTitleTrackFromFilm
Indicates that a song serves as the title track for a particular film.
-
E.
isTitleTrackOfSide
Indicates that a track serves as the title track for a specific side of a multi-sided release (e.g., side A or side B).
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:08 a.m.