Triple
T17121094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voyager non-stop around-the-world flight aircraft |
E415464
|
entity |
| Predicate | yearOfCollierTrophy |
P31224
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Voyager non-stop around-the-world flight aircraft, yearOfCollierTrophy, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfCollierTrophy Context triple: [Voyager non-stop around-the-world flight aircraft, yearOfCollierTrophy, 1986]
-
A.
ColemanMedalWinner
Indicates that the subject is the winner of the Australian Football League’s Coleman Medal for leading goalkicker in a given season.
-
B.
yearOfWin
chosen
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
C.
returnedAwardYear
Indicates the year in which an award that had previously been given was returned or relinquished.
-
D.
awardForYear
Indicates that an award is associated with, or was given in, a specific year.
-
E.
yearOfFinalAward
Indicates the specific calendar year in which the final instance of an award was given or conferred.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e809ee888190a2cf69d59c0b9c20 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.