Triple
T11416797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1949 Oldsmobile 88 |
E270511
|
entity |
| Predicate | modelIntroductionContext |
P76098
|
FINISHED |
| Object | post-World War II American auto market |
—
|
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: post-World War II American auto market | Statement: [1949 Oldsmobile 88, modelIntroductionContext, post-World War II American auto market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modelIntroductionContext Context triple: [1949 Oldsmobile 88, modelIntroductionContext, post-World War II American auto market]
-
A.
introductionContext
chosen
Indicates the situational or background circumstances under which an introduction between entities takes place.
-
B.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
-
C.
coIntroduced
Indicates that two or more entities jointly introduced or presented something together for the first time.
-
D.
hasIntroduction
Indicates that one entity includes or provides an introductory section, part, or presentation for another entity.
-
E.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b0236c81908122ce3fc7b4fde7 |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.