Triple
T14368788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inuvialuit language |
E356303
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Siglitun |
E353183
|
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: Siglitun | Statement: [Inuvialuit language, hasDialect, Siglitun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siglitun Context triple: [Inuvialuit language, hasDialect, Siglitun]
-
A.
Siglitun
chosen
Siglitun is a dialect of the Inuit language traditionally spoken by the Siglit Inuit of the western Canadian Arctic.
-
B.
Sigave
Sigave is one of the three traditional chiefdoms of Wallis and Futuna, located on the island of Futuna in the South Pacific.
-
C.
Sigdal
Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
-
D.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
E.
Soligalich
Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb0b8988190ab834a85911c015c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c51bf888190b1776461884c4514 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.