Triple
T26398362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese FA Super Cup |
E663633
|
entity |
| Predicate | firstEditionParticipants |
P196616
|
FINISHED |
| Object | Chinese Jia-A League champions |
—
|
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: Chinese Jia-A League champions | Statement: [Chinese FA Super Cup, firstEditionParticipants, Chinese Jia-A League champions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEditionParticipants Context triple: [Chinese FA Super Cup, firstEditionParticipants, Chinese Jia-A League champions]
-
A.
firstEditionAttendance
Indicates the number of people who attended the first edition or initial occurrence of an event.
-
B.
firstEditionEvent
Indicates the event at which the first edition or initial release of a work was formally issued or made available.
-
C.
firstEditionHeldIn
Indicates the location where the first edition or initial occurrence of an event was held.
-
D.
firstMeetingParticipants
Indicates that the related entities are participants involved in a first-time meeting or initial encounter.
-
E.
firstEditionFocus
Indicates that the primary emphasis or subject of something is its first edition.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69fe5ec84910819094cb15269ace7c51 |
completed | May 8, 2026, 10:08 p.m. |
Created at: April 26, 2026, 11:30 p.m.