Triple
T12752934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goshute |
E304779
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Gosiute |
E418813
|
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: Gosiute | Statement: [Goshute, hasAlternativeName, Gosiute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gosiute Context triple: [Goshute, hasAlternativeName, Gosiute]
-
A.
Gosiute
chosen
Gosiute is a dialect of the Shoshoni language traditionally spoken by the Goshute people of the Great Basin region in the western United States.
-
B.
Sinkyone
Sinkyone is an extinct Athabaskan language once spoken by the Sinkyone people of northern California’s Pacific coast.
-
C.
Waihola
Waihola is a small lakeside township in Otago, New Zealand, known for its proximity to Lake Waihola and its role as a rural community within the Clutha District.
-
D.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
E.
Hattula
Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd9555081908b0d027bc332b468 |
completed | April 10, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb5f4188190a5d014bf68557a96 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:27 p.m.