Triple
T10613355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara |
E276058
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Kanga |
E352813
|
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: Kanga | Statement: [Kara, relatedTo, Kanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanga Context triple: [Kara, relatedTo, Kanga]
-
A.
Kanga
chosen
Kanga is a gentle, caring mother kangaroo from A. A. Milne’s Winnie-the-Pooh stories, best known as the protective parent of Roo in the Hundred Acre Wood.
-
B.
KANGA
"KANGA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
-
C.
Kusum Kanguru
Kusum Kanguru is a prominent, technically challenging mountain in the Khumbu region of the Nepalese Himalayas, known for its steep, jagged ridges and difficult climbing routes.
-
D.
Kangaroo
"Kangaroo" is a 1923 political and psychological novel by D. H. Lawrence set in Australia, exploring themes of power, loyalty, and individual freedom.
-
E.
Kangaroo
Kangaroo is a classic family-friendly amusement ride known for its gentle hopping motion, featured at Kennywood amusement park.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5ca94c8190aa3771925913defc |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ecd44b08190bccbedd63544ba17 |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:33 p.m.