Triple

T4403519
Position Surface form Disambiguated ID Type / Status
Subject Holden Camira E93670 entity
Predicate soldUnderNameplate P21045 FINISHED
Object Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
 E437824 NE FINISHED

How this triple was built (4 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, soldUnderNameplate, Camira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camira
Context triple: [Holden Camira, soldUnderNameplate, Camira]
  • A. Kwamera
    Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
  • B. Megacam
    Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
  • C. I Am a Camera
    "I Am a Camera" is a 1981 synth-pop song by British new wave duo The Buggles, known for its futuristic sound and lyrical themes of observation and media.
  • D. I Am a Camera
    I Am a Camera is a 1951 play by John Van Druten, adapted from Christopher Isherwood’s Berlin Stories and best known as the stage precursor to the musical Cabaret.
  • E. Luneta
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Camira
Triple: [Holden Camira, soldUnderNameplate, Camira]
Generated description
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camira
Target entity description: Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
  • A. Kwamera
    Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
  • B. Megacam
    Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
  • C. I Am a Camera
    "I Am a Camera" is a 1981 synth-pop song by British new wave duo The Buggles, known for its futuristic sound and lyrical themes of observation and media.
  • D. I Am a Camera
    I Am a Camera is a 1951 play by John Van Druten, adapted from Christopher Isherwood’s Berlin Stories and best known as the stage precursor to the musical Cabaret.
  • E. Luneta
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • F. None of above. chosen

Provenance (5 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d1af608190ac06d50433cf24bb completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f689da008190ae5bd42af1f95bfa completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f72f5dac819081f98d835c467aca completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:28 p.m.