Triple
T23525968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type Four platform |
E576432
|
entity |
| Predicate | firstModelLaunchedOnPlatform |
P153104
|
FINISHED |
| Object | Saab 9000 |
—
|
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: Saab 9000 | Statement: [Type Four platform, firstModelLaunchedOnPlatform, Saab 9000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstModelLaunchedOnPlatform Context triple: [Type Four platform, firstModelLaunchedOnPlatform, Saab 9000]
-
A.
platformFirstReleased
Indicates the date or time when a platform was initially released or made publicly available.
-
B.
firstReleasePlatform
Indicates the platform on which something (such as a product, work, or media) was first released.
-
C.
firstModelIntroduced
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
D.
emergedOnPlatform
Indicates that an entity became visible, active, or came into existence on a specified platform.
-
E.
productionModelDebut
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac73be64819083e4a1c2c09551fb |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:09 p.m.