Triple
T15407388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karu |
E368494
|
entity |
| Predicate | hasLocalLanguage |
P4185
|
FINISHED |
| Object | Eggon |
E345710
|
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: Eggon | Statement: [Karu, hasLocalLanguage, Eggon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggon Context triple: [Karu, hasLocalLanguage, Eggon]
-
A.
Eggon
chosen
Eggon are an ethnic group in central Nigeria known for their distinct language and cultural traditions, primarily inhabiting parts of Nasarawa State.
-
B.
Eggon of Wakama
Eggon of Wakama is a regional dialect of the Eggon language spoken by the Eggon people in and around the Wakama area of central Nigeria.
-
C.
Hanussen
Hanussen is a 1988 Austrian-German biographical drama film about the clairvoyant performer Erik Jan Hanussen, starring Klaus Maria Brandauer.
-
D.
Evilenko
Evilenko is a 2004 psychological horror-thriller film loosely inspired by the crimes of Soviet serial killer Andrei Chikatilo.
-
E.
Mabuse
Mabuse is a surname most prominently associated with South African-born German dancer and television personality Motsi Mabuse and her family.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219de0f88190a914bfee5dde32c9 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.