Triple
T15488763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bega Valley Shire |
E377123
|
entity |
| Predicate | containsLocality |
P45140
|
FINISHED |
| Object | Kiah |
E1133625
|
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: Kiah | Statement: [Bega Valley Shire, containsLocality, Kiah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiah Context triple: [Bega Valley Shire, containsLocality, Kiah]
-
A.
Kiah
chosen
Kiah is a small rural locality in the Bega Valley region of New South Wales, Australia, known for its scenic river landscapes and bushland.
-
B.
Kierra
Kierra is a feminine given name most notably borne by American gospel singer and actress Kierra Sheard.
-
C.
Mirah
Mirah is an American indie singer-songwriter known for her intimate, lo-fi recordings and collaborations within the Pacific Northwest independent music scene.
-
D.
Kori Rae
Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
-
E.
Kianna
Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365d45488190b48458092b6ffead |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:48 a.m.