Triple
T21727035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDP-10 |
E536299
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | KA10 |
—
|
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: KA10 | Statement: [PDP-10, notableModel, KA10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KA10 Context triple: [PDP-10, notableModel, KA10]
-
A.
KA10
chosen
KA10 was the original 36-bit processor model used in Digital Equipment Corporation's early DECsystem-10 mainframe computers.
-
B.
KA
KA is a postcode area in the United Kingdom covering parts of southwest Scotland, including towns such as Kilmarnock and Irvine.
-
C.
KA
KA is the vehicle registration code for the Indian state of Karnataka.
-
D.
KA
KA is the vehicle registration code used on license plates for the city of Karlovac in Croatia.
-
E.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.