Triple
T14401547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludian |
E357083
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Central Ludian |
E358793
|
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: Central Ludian | Statement: [Ludian, hasDialects, Central Ludian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Ludian Context triple: [Ludian, hasDialects, Central Ludian]
-
A.
Central Ludian
chosen
Central Ludian is a primary dialect of the Ludian language spoken by Ludian communities in northwestern Russia.
-
B.
Southern Ludian
Southern Ludian is a regional dialect of the Ludian language spoken by a subset of the Ludian-speaking community.
-
C.
Northern Ludian
Northern Ludian is a regional dialect of the Ludian language spoken by a subset of the Ludian-speaking community in northern areas of its range.
-
D.
Daule Canton
Daule Canton is an administrative division in Ecuador’s Guayas Province, known for its agricultural production and proximity to the city of Guayaquil.
-
E.
La Tusa
La Tusa is a well-known Colombian television series in which actress María Cecilia Botero delivered one of her most recognized performances.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de908500048190bb6a20fe318d5c62 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5520c07c8190bfdaf224dd779ced |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.