Triple
T22706810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austria national football team |
E561477
|
entity |
| Predicate | largestWinDate |
P149396
|
FINISHED |
| Object | 1977-11-30 |
—
|
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: 1977-11-30 | Statement: [Austria national football team, largestWinDate, 1977-11-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestWinDate Context triple: [Austria national football team, largestWinDate, 1977-11-30]
-
A.
longestWinningStreakEnd
Indicates the point in time or event at which an entity’s longest continuous winning streak comes to an end.
-
B.
longestWinningStreakStart
Indicates the point in time or sequence at which an entity’s longest continuous winning streak begins.
-
C.
winningStreakEndDate
Indicates the date on which an entity’s winning streak comes to an end.
-
D.
largestFavoriteToDate
Indicates that the related item is the largest (by some defined measure) among all items that have been favorited up to the current point in time.
-
E.
recordScoreDate
Indicates the date on which a particular score was recorded.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178ceba6c8190a538366a8e4648de |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:17 p.m.