Triple
T29181663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDP series minicomputers |
E739759
|
entity |
| Predicate | mostPopularModel |
P166397
|
FINISHED |
| Object | PDP-8 |
—
|
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: PDP-8 | Statement: [PDP series minicomputers, mostPopularModel, PDP-8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostPopularModel Context triple: [PDP series minicomputers, mostPopularModel, PDP-8]
-
A.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
B.
modelIn
Indicates that one entity serves as a representation or simulation of another entity.
-
C.
mostPerformedVersion
Indicates that the related entity is the version of something (e.g., a work, piece, or composition) that has been performed more frequently than any other version.
-
D.
lastModelProduced
Indicates that one entity is the most recently created or generated model associated with another entity.
-
E.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for another entity.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f663450ba88190aaa465977605d426 |
completed | May 2, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 11:57 a.m.