Triple
T21889205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-tjenesten |
E540491
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | E-tjenesten |
—
|
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: E-tjenesten | Statement: [E-tjenesten, shortName, E-tjenesten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-tjenesten Context triple: [E-tjenesten, shortName, E-tjenesten]
-
A.
E-tjenesten
chosen
E-tjenesten is Norway’s military foreign intelligence agency responsible for gathering, analyzing, and reporting information relevant to national security and defense.
-
B.
E-tj
E-tj is the common abbreviation for E-tjenesten, Norway’s military intelligence service responsible for foreign intelligence and security.
-
C.
Etsaut
Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
-
D.
Regnecentralen
Regnecentralen was a pioneering Danish computer company and research institution known for its early contributions to computer science and computing technology in Denmark.
-
E.
E-Trou
E-Trou is a music producer and songwriter best known for his work as part of the hip-hop and trap-focused producer collective Internet Money.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ef2b648190bbd78f6b3958d2ee |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:06 p.m.