Triple
T19595056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaikesi |
E470329
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Raka |
—
|
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: Raka | Statement: [Kaikesi, sibling, Raka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raka Context triple: [Kaikesi, sibling, Raka]
-
A.
Raka
Raka is an individual known primarily through their personal relationship with Koki.
-
B.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
C.
Rakau
Rakau is a small rural settlement in Belarus located near the historical hill of Dziaržynskaja Hara, the country’s highest point.
-
D.
Wulkuraka
Wulkuraka is a suburban locality in the city of Ipswich, Queensland, Australia, known primarily as a residential area with rail infrastructure and access to nearby urban amenities.
-
E.
Kurawa
chosen
Kurawa are the antagonistic royal cousins of the Pandawa in Javanese and broader Indonesian adaptations of the Mahabharata, often portrayed as embodiments of greed, envy, and tyranny.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640793cd88190b9b84491bfb2493f |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.