Triple
T37883476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League anthem |
E944933
|
entity |
| Predicate | firstSeasonUsed |
P115402
|
FINISHED |
| Object | 1992–93 UEFA Champions League season |
—
|
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: 1992–93 UEFA Champions League season | Statement: [UEFA Champions League anthem, firstSeasonUsed, 1992–93 UEFA Champions League season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonUsed Context triple: [UEFA Champions League anthem, firstSeasonUsed, 1992–93 UEFA Champions League season]
-
A.
firstYearOfUse
Indicates the year in which something was first put into use or began being used.
-
B.
firstUsedInSeason
chosen
Indicates the season in which something (such as a character, item, or concept) was first introduced or used.
-
C.
firstUsedAs
Indicates that one entity was the earliest or original thing in which another entity was used or applied.
-
D.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
E.
firstSeasonBasedOn
Indicates that the first season of a series is based on, adapted from, or derived from another work or source.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.