Triple
T29181883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Address Generator Unit |
E739764
|
entity |
| Predicate | successorInChipset |
P195582
|
FINISHED |
| Object | Alice |
—
|
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: Alice | Statement: [Address Generator Unit, successorInChipset, Alice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInChipset Context triple: [Address Generator Unit, successorInChipset, Alice]
-
A.
predecessorChipset
Indicates that one chipset directly precedes another in a developmental or generational sequence.
-
B.
successorEngineFamily
Indicates that one engine family directly follows and replaces another in a product or development lineage.
-
C.
platformSuccessor
Indicates that one platform directly follows or replaces another in a sequence or evolution of platforms.
-
D.
successorSystem
Indicates that one system directly follows and replaces another in function, role, or version.
-
E.
successorModel
Indicates that one model is the direct follow-up or replacement for another earlier 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69fddac42c4081908568649058e86458 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 28, 2026, 11:57 a.m.