Triple
T21727038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDP-10 |
E536299
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | KS10 |
—
|
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: KS10 | Statement: [PDP-10, notableModel, KS10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KS10 Context triple: [PDP-10, notableModel, KS10]
-
A.
KS10
chosen
KS10 is a later, cost-reduced model of Digital Equipment Corporation’s PDP-10 mainframe line, integrating the CPU onto fewer, more modern hardware modules.
-
B.
KS01
KS01 is the station code assigned to Keisei Ueno Station on the Keisei Electric Railway network in Tokyo, Japan.
-
C.
KL10
KL10 is a 36-bit mainframe CPU model developed by Digital Equipment Corporation for high-end DECsystem-10 and DECSYSTEM-20 systems.
-
D.
K-10
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
-
E.
K1
K1 is a compact South Korean 5.56×45mm assault carbine developed by Daewoo (now S&T Motiv) and used primarily by the Republic of Korea Armed Forces.
- 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.