Triple
T381043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NORD series |
E8678
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | NORD-300 |
E8678
|
NE FINISHED |
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: NORD-300 | Statement: [NORD series, notableModel, NORD-300]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NORD-300 Context triple: [NORD series, notableModel, NORD-300]
-
A.
NORD series
chosen
The NORD series is a line of minicomputers developed by Norwegian company Norsk Data, notable in the 1970s and 1980s for their use in scientific, technical, and real-time computing applications.
-
B.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
-
C.
BB-37
BB-37 is the hull number of USS Oklahoma, a Nevada-class battleship of the United States Navy that was sunk during the attack on Pearl Harbor in 1941.
-
D.
Nourse
Nourse is a surname and variant spelling of "Nurse," historically associated with English-speaking families and occasionally used as a place or business name.
-
E.
Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4239e5bcc8190918c5c90c77898c9 |
completed | March 1, 2026, 11:31 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.