Triple
T23521929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungary vs Portugal (UEFA Euro 2020 Group F) |
E574530
|
entity |
| Predicate | portugalScore |
P153079
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Hungary vs Portugal (UEFA Euro 2020 Group F), portugalScore, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portugalScore Context triple: [Hungary vs Portugal (UEFA Euro 2020 Group F), portugalScore, 3]
-
A.
rankInPortugal
Indicates the position or standing that something holds within a ranking specific to Portugal.
-
B.
populationRankInPortugal
Indicates the relative position of an entity in terms of population size compared to other entities within Portugal.
-
C.
chartPositionPortugal
Indicates the chart ranking or position that something (typically a song, album, or similar item) achieved specifically in Portugal.
-
D.
SpainGoals
Indicates the number of goals scored by Spain in a given match or competition context.
-
E.
aggregateScoreVsBenfica
Indicates the overall combined score achieved in matches played against Benfica across all relevant legs or encounters.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:08 p.m.