Triple
T381035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NORD series |
E8678
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | NORD-5 |
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-5 | Statement: [NORD series, notableModel, NORD-5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NORD-5 Context triple: [NORD series, notableModel, NORD-5]
-
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.
Scandinavium
Scandinavium is a major indoor arena in Gothenburg, Sweden, best known for hosting top-level ice hockey, concerts, and international sporting events.
-
C.
Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
-
D.
NDX
NDX is the ticker symbol for the NASDAQ-100 Index, a major stock market index tracking 100 of the largest non-financial companies listed on the Nasdaq exchange.
-
E.
NOR
NOR is the three-letter ISO 3166-1 alpha-3 country code representing Norway.
- 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_69a3fe9418348190a1ffb3fd3e3f8048 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.