Triple
T36240228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Lee |
E891498
|
entity |
| Predicate | hasModelYear |
P4161
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [General Lee, hasModelYear, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModelYear Context triple: [General Lee, hasModelYear, 1969]
-
A.
winnerModelYear
Indicates that a model was the winning model for a particular year.
-
B.
modelYears
chosen
Indicates the association between a product (often a vehicle or device) and the specific calendar years in which that model version was produced or marketed.
-
C.
succeededInModelYearBy
Indicates that one model year is directly followed and replaced by another model year in a sequence or product line.
-
D.
yearOfManufacture
Indicates the specific calendar year in which an item was produced or manufactured.
-
E.
hasModelSeries
Indicates a relationship where an item or product is associated with a specific model series it belongs to.
- 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: May 3, 2026, 4:09 p.m.