Triple
T11966637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denmark national football team |
E284805
|
entity |
| Predicate | euroTitleYear |
P67712
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Denmark national football team, euroTitleYear, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: euroTitleYear Context triple: [Denmark national football team, euroTitleYear, 1992]
-
A.
EuroTitleYear
chosen
Indicates the year in which an entity received or held a specific European title or championship.
-
B.
euroTitle
Indicates that an entity holds or is associated with a European title, such as a championship, honor, or official designation within a European context.
-
C.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
D.
yearTitleCreated
Indicates the year in which the referenced title (such as a work, document, or creative piece) was originally created.
-
E.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.