Triple
T37026404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup semi-finals |
E916367
|
entity |
| Predicate | hasNumberOfTies |
P199138
|
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: [UEFA Cup semi-finals, hasNumberOfTies, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfTies Context triple: [UEFA Cup semi-finals, hasNumberOfTies, 2]
-
A.
hasTiePossibility
Indicates that a situation, event, or interaction has the potential to end in a tie or draw rather than producing a single winner.
-
B.
hasTieGame
Indicates that a game or match has ended with both sides having the same score, resulting in no winner.
-
C.
hasMultipleWinnersPossible
Indicates that a situation, event, or contest allows for more than one winner to be recognized or selected.
-
D.
pointsForTie
Indicates the number of points awarded to each side when a contest or game ends in a tie.
-
E.
maintainsTieWith
Indicates that one entity keeps an ongoing connection or relationship with another entity over time.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
| PDg | Predicate description generation | batch_69ff21ca6964819088bdf1810b7863f2 |
completed | May 9, 2026, noon |
Created at: May 3, 2026, 4:14 p.m.