Triple
T13471851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meekknoken |
E311646
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Meekknoken@nb |
E311646
|
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: Meekknoken@nb | Statement: [Meekknoken, hasNameInLanguage, Meekknoken@nb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meekknoken@nb Context triple: [Meekknoken, hasNameInLanguage, Meekknoken@nb]
-
A.
Meekknoken
chosen
Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
-
B.
Naaldekoker
Naaldekoker is a notable literary work by Afrikaans poet D. J. Opperman, recognized for its contribution to modern Afrikaans poetry.
-
C.
Kees
Kees is the familiar nickname of Kees van Dongen, a prominent Dutch-French Fauvist painter known for his vibrant colors and expressive portraits.
-
D.
ENK
ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
-
E.
Inetkaes
Inetkaes was an ancient Egyptian royal woman, likely a princess of the early Old Kingdom period.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462d97688190b5b817fff5973ceb |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.