Triple
T23975271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln MKC |
E604346
|
entity |
| Predicate | succeededInModelYearBy |
P154099
|
FINISHED |
| Object | 2020 Lincoln Corsair |
—
|
NE NERFINISHED |
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: 2020 Lincoln Corsair | Statement: [Lincoln MKC, succeededInModelYearBy, 2020 Lincoln Corsair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededInModelYearBy Context triple: [Lincoln MKC, succeededInModelYearBy, 2020 Lincoln Corsair]
-
A.
winnerModelYear
Indicates that a model was the winning model for a particular year.
-
B.
suspensionYear
Indicates the year in which a suspension (such as a ban, halt, or temporary discontinuation of activity) takes effect or is recorded.
-
C.
spireCompletionYear
Indicates the year in which the spire of a structure was completed.
-
D.
originalCompletionYear
Indicates the year in which something (such as a project, work, or construction) was first fully completed.
-
E.
becameStandaloneModelYear
Indicates the year in which an entity first transitioned into being recognized or produced as an independent, standalone model.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2ba11708190b8587bd006249ff5 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:26 p.m.