Triple
T1655311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egegik |
E35784
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Egegik region |
E35784
|
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: Egegik region | Statement: [Egegik, spokenIn, Egegik region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egegik region Context triple: [Egegik, spokenIn, Egegik region]
-
A.
Seeland region
The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
-
B.
Egegik
chosen
Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
-
C.
Taunus region
The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
-
D.
Karas Region
Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
-
E.
Lika region
The Lika region is a mountainous and sparsely populated area of central Croatia known for its karst landscapes, forests, and traditional rural culture.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a8b597c81908a62b41718d85df6 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60ad3bb48190a096ff7813748168 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:29 p.m.