Triple
T23521930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungary vs Portugal (UEFA Euro 2020 Group F) |
E574530
|
entity |
| Predicate | hungaryScore |
P128147
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Hungary vs Portugal (UEFA Euro 2020 Group F), hungaryScore, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hungaryScore Context triple: [Hungary vs Portugal (UEFA Euro 2020 Group F), hungaryScore, 0]
-
A.
resultForHungary
chosen
Indicates the outcome or result associated specifically with Hungary in a given context (such as an event, competition, or measurement).
-
B.
resultInHungary
Indicates that an action, event, or process leads to an outcome that occurs in or pertains specifically to Hungary.
-
C.
chartPositionHungary
Indicates the position or ranking something holds on a music or sales chart specifically in Hungary.
-
D.
frequencyInHungary
Indicates how often something occurs or is present within the context of Hungary.
-
E.
lengthInHungary
Indicates that something has a specified length measured within the context or territory of Hungary.
- 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.