Triple
T2863385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quadriga award |
E63378
|
entity |
| Predicate | suspensionYear |
P42789
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Quadriga award, suspensionYear, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suspensionYear Context triple: [Quadriga award, suspensionYear, 2011]
-
A.
demonstrationYear
Indicates the year in which a demonstration, display, or public showing of something took place.
-
B.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
-
C.
suspensionType
Indicates the specific kind or configuration of suspension system associated with an entity (e.g., a vehicle or structure).
-
D.
suppressionYear
Indicates the year in which the referenced activity, expression, or entity was formally suppressed, halted, or forcibly discontinued.
-
E.
accessionYear
Indicates the calendar year in which an item, record, or entity was formally added to or registered within a collection, system, or institution.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb6e6988190b832ee05d8420633 |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:02 p.m.