Triple
T16811719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian National Road 4 |
E408628
|
entity |
| Predicate | passesThroughTown |
P10456
|
FINISHED |
| Object | Jaren |
E599685
|
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: Jaren | Statement: [Norwegian National Road 4, passesThroughTown, Jaren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaren Context triple: [Norwegian National Road 4, passesThroughTown, Jaren]
-
A.
Jaren
chosen
Jaren is a village and transport hub in Gran municipality in Innlandet county, Norway, serving as a stop on the rail line north of Oslo.
-
B.
Jahren
Jahren is a surname most notably associated with Hope Jahren, an American geochemist, geobiologist, and author known for her work on plant science and her memoir "Lab Girl."
-
C.
Yillah
Yillah is a mysterious, ethereal woman who serves as a symbolic and spiritual figure in Herman Melville’s novel "Mardi."
-
D.
Yearby
Yearby is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
-
E.
Jann
Jann is a given name most notably associated with Jann Wenner, the co-founder and longtime publisher of Rolling Stone magazine.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2d0793c81909d938ac174a6e63a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b292a5888190812539b14eb77f34 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.