Triple
T36333039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Cup 1982–83 |
E894703
|
entity |
| Predicate | titleHolderAfterSeason |
P70809
|
FINISHED |
| Object | Hamburger SV |
—
|
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: Hamburger SV | Statement: [European Cup 1982–83, titleHolderAfterSeason, Hamburger SV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderAfterSeason Context triple: [European Cup 1982–83, titleHolderAfterSeason, Hamburger SV]
-
A.
titleHolderDuring
Indicates that one entity holds a specific title or position during a defined time period in relation to another entity.
-
B.
titleHeldAfter
chosen
Indicates that one entity held a particular title or position after another entity, establishing a temporal succession in holding that title.
-
C.
titleHolderWas
Indicates that an entity previously held a specific title or position before it passed to someone or something else.
-
D.
titleHoldersWere
Indicates that certain entities previously held a specified title or position during a past period.
-
E.
titleHolderSince
Indicates the entity that has held a particular title or position continuously from a specified starting time.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffada24d188190a576a02dc280a7fb |
completed | May 9, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69ffad46d6ac819081772f408b1389d5 |
completed | May 9, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:09 p.m.