Triple
T19527996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bielefeld viaduct |
E488581
|
entity |
| Predicate | firstGrandSlamUsedOn |
P136649
|
FINISHED |
| Object | 1945-03-14 |
—
|
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: 1945-03-14 | Statement: [Bielefeld viaduct, firstGrandSlamUsedOn, 1945-03-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGrandSlamUsedOn Context triple: [Bielefeld viaduct, firstGrandSlamUsedOn, 1945-03-14]
-
A.
firstMajorTournamentUse
Indicates the first major tournament in which a particular thing (such as an item, rule, or strategy) was used.
-
B.
firstGrandSlamToGoOpen
Indicates that a particular Grand Slam tournament was the first among all Grand Slams to adopt the Open Era format, allowing both amateurs and professionals to compete.
-
C.
yearOfGrandSlam
Indicates the specific year in which a particular Grand Slam event or achievement took place.
-
D.
oneOfFirstToAchieveCareerGrandSlam
Indicates that the subject is among the earliest individuals to complete a career Grand Slam in their field (winning all major titles or championships at least once).
-
E.
grandSlam
Indicates achieving a particularly comprehensive or dominant success, often by winning all major components or events within a defined set.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363d43148190af25caaa57accf9b |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:41 p.m.