Triple
T23521933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungary vs Portugal (UEFA Euro 2020 Group F) |
E574530
|
entity |
| Predicate | numberOfGoalsByCristianoRonaldo |
P150400
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Hungary vs Portugal (UEFA Euro 2020 Group F), numberOfGoalsByCristianoRonaldo, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGoalsByCristianoRonaldo Context triple: [Hungary vs Portugal (UEFA Euro 2020 Group F), numberOfGoalsByCristianoRonaldo, 2]
-
A.
numberOfGoalsByRonaldo
chosen
Indicates the total count of goals scored by Ronaldo in the specified context.
-
B.
goalsByRealMadrid
Indicates the number of goals that were scored by Real Madrid.
-
C.
karimBenzemaGoals
Indicates the number of goals scored by Karim Benzema.
-
D.
numberOfGoals
Indicates the total count of goals scored or achieved by an entity in a given context.
-
E.
famousGoalAgainst
Indicates that one entity is widely recognized for scoring a notable or iconic goal against 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_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.