Triple
T12191906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonín Panenka scored a chipped penalty in the shoot-out |
E290482
|
entity |
| Predicate | isOftenReplayedIn |
P75118
|
FINISHED |
| Object | UEFA Euro historical highlights |
—
|
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: UEFA Euro historical highlights | Statement: [Antonín Panenka scored a chipped penalty in the shoot-out, isOftenReplayedIn, UEFA Euro historical highlights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenReplayedIn Context triple: [Antonín Panenka scored a chipped penalty in the shoot-out, isOftenReplayedIn, UEFA Euro historical highlights]
-
A.
replayedOn
Indicates that an event, performance, or recording was played again on a particular medium, platform, or channel.
-
B.
replayFrequency
chosen
Indicates how often an event, action, or sequence is repeated or played back over a given period.
-
C.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
D.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
E.
usesRepetition
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.