Triple
T8544738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcelona |
E202288
|
entity |
| Predicate | titleTrackUsedAs |
P83236
|
FINISHED |
| Object | unofficial anthem of the 1992 Barcelona Olympics |
—
|
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: unofficial anthem of the 1992 Barcelona Olympics | Statement: [Barcelona, titleTrackUsedAs, unofficial anthem of the 1992 Barcelona Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleTrackUsedAs Context triple: [Barcelona, titleTrackUsedAs, unofficial anthem of the 1992 Barcelona Olympics]
-
A.
isTitleTrack
Indicates that a song or track shares the same title as the album, film, or larger work it belongs to.
-
B.
trackName
Indicates the name or title assigned to a specific track (such as a song, audio piece, or route) in the relationship.
-
C.
titleUsedSince
Indicates that a particular title has been in use starting from a specified point in time.
-
D.
usesTrackage
Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
-
E.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e4e21c8190afcbca73713a5fa8 |
completed | March 31, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:18 p.m.