Triple

T11964666
Position Surface form Disambiguated ID Type / Status
Subject GM G-body E284760 entity
Predicate platformCode P19884 FINISHED
Object G-body
G-body is a General Motors rear-wheel-drive automobile platform used primarily for mid-size coupes and sedans produced from the late 1970s through the 1980s.
 E957021 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: G-body | Statement: [GM G-body, platformCode, G-body]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: G-body
Context triple: [GM G-body, platformCode, G-body]
  • A. G-blokka
    G-blokka is a central Norwegian government office building in Oslo’s Government Quarter, historically housing key ministries and administrative functions.
  • B. Korpo
    Korpo is a large island in Finland’s southwestern archipelago, known for its coastal landscapes, small villages, and role as part of the municipality of Parainen.
  • C. Gob
    Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
  • D. Gobato
    Gobato is a regional dialect associated with the Berta language, spoken by the Berta people of northeastern Africa.
  • E. Kogon
    Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
  • 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: G-body
Triple: [GM G-body, platformCode, G-body]
Generated description
G-body is a General Motors rear-wheel-drive automobile platform used primarily for mid-size coupes and sedans produced from the late 1970s through the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: G-body
Target entity description: G-body is a General Motors rear-wheel-drive automobile platform used primarily for mid-size coupes and sedans produced from the late 1970s through the 1980s.
  • A. G-blokka
    G-blokka is a central Norwegian government office building in Oslo’s Government Quarter, historically housing key ministries and administrative functions.
  • B. Korpo
    Korpo is a large island in Finland’s southwestern archipelago, known for its coastal landscapes, small villages, and role as part of the municipality of Parainen.
  • C. Gob
    Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
  • D. Gobato
    Gobato is a regional dialect associated with the Berta language, spoken by the Berta people of northeastern Africa.
  • E. Kogon
    Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903799f948190a5dc4d3822f3ff27 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4594054f08190b28b35f62dfb9198 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f45f89d5b08190a87312d96e61898a completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464a5191881908e291943996169cb completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:45 p.m.