Triple
T17745804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanai |
E442986
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Oroch |
—
|
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: Oroch | Statement: [Nanai, relatedEthnicGroup, Oroch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oroch Context triple: [Nanai, relatedEthnicGroup, Oroch]
-
A.
Orochons
chosen
The Orochons are an Indigenous Tungusic-speaking people of Siberia and northeastern China, traditionally known for reindeer herding, hunting, and a nomadic taiga lifestyle.
-
B.
Oroko
The Oroko are an indigenous Bantu-speaking ethnic group of southwestern Cameroon, known for their rich cultural traditions, agriculture, and coastal rainforest homeland.
-
C.
Ogiso
Ogiso is the traditional title of the early divine kings of the ancient Benin kingdom, ruling the realm known as Igodomigodo before the rise of the Oba dynasty.
-
D.
Orosháza
Orosháza is a town in southeastern Hungary known for its agricultural economy, thermal baths, and proximity to the Great Hungarian Plain.
-
E.
Ogori
Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.