Triple
T19677400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shina language |
E472489
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Brokskat |
—
|
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: Brokskat | Statement: [Shina language, closelyRelatedTo, Brokskat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brokskat Context triple: [Shina language, closelyRelatedTo, Brokskat]
-
A.
Brokskat
chosen
Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
-
B.
Krokkleiva
Krokkleiva is a notable geographic feature in the municipality of Hole in Norway, known for its steep terrain and scenic surroundings.
-
C.
Skrautvål
Skrautvål is a small village in Nord-Aurdal Municipality in Innlandet county, Norway, known for its rural setting in the Valdres region and traditional Norwegian countryside character.
-
D.
Blakset
Blakset is a small village in the municipality of Stryn in Vestland county, western Norway.
-
E.
Schleprock
Schleprock is a perpetually gloomy, bad-luck-bringing character from the Flintstones universe, best known for his catchphrase “Wowzie wow wow.”
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bceef881909c5b655af709c8c6 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.