Triple
T18279424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden Camira |
E437824
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Camira |
—
|
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: Camira | Statement: [Holden Camira, marketedAs, Camira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camira Context triple: [Holden Camira, marketedAs, Camira]
-
A.
Camira
Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
-
B.
Camira
chosen
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
C.
Cámara
Cámara is an Argentine Navy officer known for his service in Argentina's naval forces.
-
D.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
E.
Caméra One
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50054d1dc8190b31d02f617256e9d |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.