Triple
T21889241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-tjenesten |
E540491
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
E-tj
E-tj is the common abbreviation for E-tjenesten, Norway’s military intelligence service responsible for foreign intelligence and security.
|
E1507117
|
NE FINISHED |
How this triple was built (4 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-tj | Statement: [E-tjenesten, hasAbbreviation, E-tj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-tj Context triple: [E-tjenesten, hasAbbreviation, E-tj]
-
A.
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.
-
B.
E-Tense
E-Tense is DS Automobiles’ electrified vehicle line, encompassing its hybrid and fully electric performance models.
-
C.
tj
tj is the GitHub username of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go tools and frameworks.
-
D.
EETN
EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
-
E.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: E-tj Triple: [E-tjenesten, hasAbbreviation, E-tj]
Generated description
E-tj is the common abbreviation for E-tjenesten, Norway’s military intelligence service responsible for foreign intelligence and security.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-tj Target entity description: E-tj is the common abbreviation for E-tjenesten, Norway’s military intelligence service responsible for foreign intelligence and security.
-
A.
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.
-
B.
E-Tense
E-Tense is DS Automobiles’ electrified vehicle line, encompassing its hybrid and fully electric performance models.
-
C.
tj
tj is the GitHub username of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go tools and frameworks.
-
D.
EETN
EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
-
E.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52bd7064819082a40b8c41240880 |
completed | May 17, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a0a56cc4d7081909d4d82acff2d787d |
completed | May 18, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5775bba4819083357b518589be41 |
completed | May 18, 2026, 12:04 a.m. |
Created at: April 16, 2026, 7:06 p.m.