Triple
T786365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOR |
E16811
|
entity |
| Predicate | alpha2Code |
P208
|
FINISHED |
| Object | NO |
E16812
|
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: NO | Statement: [NOR, alpha2Code, NO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NO Context triple: [NOR, alpha2Code, NO]
-
A.
.no
chosen
.no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
-
B.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
C.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
D.
yes
yes is the high-definition television feed of the YES Network, providing its sports programming in HD quality.
-
E.
N
The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733e47148190bad0ac71cf45dd85 |
completed | March 3, 2026, 5:35 a.m. |
Created at: March 1, 2026, 7:38 p.m.