Triple
T23521971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany vs Hungary (UEFA Euro 2020 Group F) |
E574531
|
entity |
| Predicate | goalScorerForHungary |
P2695
|
FINISHED |
| Object | Ádám Szalai |
—
|
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: Ádám Szalai | Statement: [Germany vs Hungary (UEFA Euro 2020 Group F), goalScorerForHungary, Ádám Szalai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalScorerForHungary Context triple: [Germany vs Hungary (UEFA Euro 2020 Group F), goalScorerForHungary, Ádám Szalai]
-
A.
CroatiaOpeningGoalScorer
Indicates the player who scored the first goal of the match for the Croatia national team.
-
B.
goalScorer
chosen
Indicates that the subject is the player who scored a particular goal in a game or match.
-
C.
CroatiaSecondGoalScorer
Indicates the relationship identifying which player scored the second goal for Croatia in a given match or event.
-
D.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
-
E.
Ianis Hagi
Indicates a relationship or action involving Ianis Hagi, though the specific nature of the predicate is unclear without additional 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa873ad48190a86807bd4f26df82 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:08 p.m.