Triple
T15217047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jotunheimen National Park |
E363662
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Memurubu |
E440174
|
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: Memurubu | Statement: [Jotunheimen National Park, contains, Memurubu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memurubu Context triple: [Jotunheimen National Park, contains, Memurubu]
-
A.
Memurubu
chosen
Memurubu is a popular mountain lodge and hiking base in Norway’s Jotunheimen National Park, known as a key stop along the famous Besseggen ridge trail.
-
B.
Mibu no Tadamine
Mibu no Tadamine was a prominent early Heian-period Japanese waka poet and courtier, known as one of the Thirty-Six Immortals of Poetry and an influential contributor to classical Japanese verse.
-
C.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
-
D.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
E.
Temanoku
Temanoku is a small settlement located on Nonouti Atoll in the Republic of Kiribati in the central Pacific Ocean.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.