Triple
T8583801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Croatia (2018 FIFA World Cup Final) |
E203250
|
entity |
| Predicate | fullTimeScore |
P42688
|
FINISHED |
| Object | France 4–2 Croatia |
—
|
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: France 4–2 Croatia | Statement: [France vs Croatia (2018 FIFA World Cup Final), fullTimeScore, France 4–2 Croatia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullTimeScore Context triple: [France vs Croatia (2018 FIFA World Cup Final), fullTimeScore, France 4–2 Croatia]
-
A.
regularTimeScore
chosen
Indicates the score or performance measure achieved during the standard or non-extended time period of an event or activity.
-
B.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
C.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
D.
scoresWhen
Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
-
E.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.