Triple
T3441575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gutnish |
E72575
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Gutamål |
E72577
|
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: Gutamål | Statement: [Gutnish, hasAlternativeName, Gutamål]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gutamål Context triple: [Gutnish, hasAlternativeName, Gutamål]
-
A.
Germoe
Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
-
B.
Gälpu
Gälpu is an Australian Aboriginal language spoken by the Gälpu people of northeast Arnhem Land in the Northern Territory.
-
C.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
D.
Geidam
Geidam is a town and local government area in northeastern Nigeria known for its location in Yobe State near the border with Niger.
-
E.
Gutalagen
chosen
Gutalagen is a medieval legal code from the island of Gotland, written in Old Gutnish and detailing the laws and customs of its inhabitants.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba276b708190949f294a8d09ec7b |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3548598088190907e13c88cb975fc |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:16 p.m.