Triple
T20054591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korku tribe |
E499293
|
entity |
| Predicate | alsoCalled |
P39
|
FINISHED |
| Object | Korkus |
—
|
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: Korkus | Statement: [Korku tribe, alsoCalled, Korkus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korkus Context triple: [Korku tribe, alsoCalled, Korkus]
-
A.
Korku
chosen
Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
-
B.
Korsmo
Korsmo is a surname most notably associated with Charlie Korsmo, a former child actor turned law professor.
-
C.
Kopsenni
Kopsenni is the highest peak on the Faroe Islands' main island of Streymoy, known for its rugged terrain and scenic North Atlantic views.
-
D.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
E.
Korosten
Korosten is a historic city in northern Ukraine known as a regional railway hub and former center of the ancient Drevlians.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66331c7488190840d43792ff09977 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.