Triple
T9042453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilyhammer |
E216665
|
entity |
| Predicate | originalChannel |
P2595
|
FINISHED |
| Object | NRK1 |
E83353
|
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: NRK1 | Statement: [Lilyhammer, originalChannel, NRK1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NRK1 Context triple: [Lilyhammer, originalChannel, NRK1]
-
A.
NRK
NRK is the National Rail station code for Newark North Gate railway station in Nottinghamshire, England.
-
B.
NRK
NRK is the commonly used abbreviation for the Netherlands Red Cross, the Dutch national society of the International Red Cross and Red Crescent Movement.
-
C.
NRK
chosen
NRK is Norway’s public broadcasting corporation, known for producing and airing a wide range of national television and radio programming, including major sports events.
-
D.
NR
NR is the radio access technology standard defined by 3GPP for fifth-generation (5G) mobile networks, enabling high-speed, low-latency wireless communication.
-
E.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b110fcc8190a09e8ac5d98e399e |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdb085c88190b3cf1bec5b1a7143 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:09 p.m.