Triple
T3952679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Euro 2016 Final |
E84901
|
entity |
| Predicate | substitutionEvent |
P51430
|
FINISHED |
| Object | Cristiano Ronaldo injured and substituted in first half |
—
|
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: Cristiano Ronaldo injured and substituted in first half | Statement: [UEFA Euro 2016 Final, substitutionEvent, Cristiano Ronaldo injured and substituted in first half]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: substitutionEvent Context triple: [UEFA Euro 2016 Final, substitutionEvent, Cristiano Ronaldo injured and substituted in first half]
-
A.
alternativeEvent
Indicates that one event serves as an alternative or substitute option to another event within the same context.
-
B.
involvesSubstitute
chosen
Indicates that one entity participates in a situation, event, or role as a replacement or stand-in for another entity.
-
C.
triggerEvent
Indicates that one entity causes or initiates the occurrence of a specific event involving another entity or the system.
-
D.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
E.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:30 p.m.