Triple
T19432506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chukchee |
E486150
|
entity |
| Predicate | hasAutonym |
P1435
|
FINISHED |
| Object | Luoravetlan |
—
|
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: Luoravetlan | Statement: [Chukchee, hasAutonym, Luoravetlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luoravetlan Context triple: [Chukchee, hasAutonym, Luoravetlan]
-
A.
Luoravetlan
chosen
Luoravetlan is an indigenous people of northeastern Siberia, traditionally semi-nomadic reindeer herders and coastal hunters living in the Chukotka region of Russia.
-
B.
Lohavan
Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
-
C.
Laukaa
Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
-
D.
Loidoriki
Loidoriki is a historic town in central Greece that once formed part of the medieval Catalan-ruled territories in the region.
-
E.
Luntai
Luntai is a small oasis town and county in China’s Xinjiang region, situated along the northern edge of the Taklamakan Desert on the historic Silk Road.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335c2d7481909a44b45d95492e02 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.