Triple
T23202701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faroese thing |
E580360
|
entity |
| Predicate | similarTo |
P4460
|
FINISHED |
| Object | Gulating |
—
|
NE NERFINISHED |
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: Gulating | Statement: [Faroese thing, similarTo, Gulating]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulating Context triple: [Faroese thing, similarTo, Gulating]
-
A.
Gulating
chosen
Gulating was one of the oldest and most important medieval Norwegian regional assemblies (things), serving as a legislative and judicial body for western Norway.
-
B.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
-
C.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
-
D.
Gullac
Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
-
E.
Hemulen
Hemulen is a character from Tove Jansson’s Moomin series, typically portrayed as a tall, earnest, and somewhat pedantic creature obsessed with hobbies like stamp collecting and botany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907a8bb48190846802a24d33bccf |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:06 p.m.