Triple

T16179385
Position Surface form Disambiguated ID Type / Status
Subject Nanjing Automobile E392646 entity
Predicate abbreviation P43 FINISHED
Object NAC
NAC is a major Chinese automobile manufacturer based in Nanjing, known for producing passenger cars, commercial vehicles, and automotive components.
E1198965 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: NAC | Statement: [Nanjing Automobile, abbreviation, NAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAC
Context triple: [Nanjing Automobile, abbreviation, NAC]
  • A. NAC
    The North Atlantic Council (NAC) is NATO’s principal political decision-making body, bringing together member states’ representatives to oversee and guide the alliance’s policies and operations.
  • B. NAC
    NAC is the commonly used abbreviation for the National Advisory Council, a high-level governmental body that provides policy advice and recommendations.
  • C. NAC
    NAC is the commonly used abbreviation for the North Academic Center, a major academic building at the City College of New York.
  • D. NACT
    NACT is a major contemporary art museum in Tokyo known for its distinctive curved glass architecture and large-scale rotating exhibitions.
  • E. NACC
    NACC is the commonly used abbreviated name for the sports teams of the University of Southern Mississippi, known as the Golden Eagles.
  • 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: NAC
Triple: [Nanjing Automobile, abbreviation, NAC]
Generated description
NAC is a major Chinese automobile manufacturer based in Nanjing, known for producing passenger cars, commercial vehicles, and automotive components.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NAC
Target entity description: NAC is a major Chinese automobile manufacturer based in Nanjing, known for producing passenger cars, commercial vehicles, and automotive components.
  • A. NAC
    The North Atlantic Council (NAC) is NATO’s principal political decision-making body, bringing together member states’ representatives to oversee and guide the alliance’s policies and operations.
  • B. NAC
    NAC is the commonly used abbreviation for the National Advisory Council, a high-level governmental body that provides policy advice and recommendations.
  • C. NAC
    NAC is the commonly used abbreviation for the North Academic Center, a major academic building at the City College of New York.
  • D. NACT
    NACT is a major contemporary art museum in Tokyo known for its distinctive curved glass architecture and large-scale rotating exhibitions.
  • E. NACC
    NACC is the commonly used abbreviated name for the sports teams of the University of Southern Mississippi, known as the Golden Eagles.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a000170f87481909fbfb2104e6b0403 completed May 10, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0001d5018481908e84a33e4a797f95 completed May 10, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:02 a.m.