Triple

T16318621
Position Surface form Disambiguated ID Type / Status
Subject Caenorhabditis Genetics Center E396234 entity
Predicate shortName P43 FINISHED
Object CGC
CGC is a major resource center that maintains and distributes Caenorhabditis elegans and related nematode strains for genetics and developmental biology research.
 E1207033 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: CGC | Statement: [Caenorhabditis Genetics Center, shortName, CGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CGC
Context triple: [Caenorhabditis Genetics Center, shortName, CGC]
  • A. CGC
    CGC is the national organization responsible for managing Canada's participation in the Commonwealth Games and promoting Commonwealth sport within the country.
  • B. CGC
    CGC is the post-nominal abbreviation for the Conspicuous Gallantry Cross, a high-level British military decoration awarded for exceptional bravery in combat.
  • C. CCG
    CCG is the railway station code for Churchgate, a major terminus on Mumbai’s suburban Western line.
  • D. TCG
    TCG (Tiny Code Generator) is QEMU’s built-in dynamic binary translation engine that emulates a target CPU by translating its instructions into host machine code in software.
  • E. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • 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: CGC
Triple: [Caenorhabditis Genetics Center, shortName, CGC]
Generated description
CGC is a major resource center that maintains and distributes Caenorhabditis elegans and related nematode strains for genetics and developmental biology research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CGC
Target entity description: CGC is a major resource center that maintains and distributes Caenorhabditis elegans and related nematode strains for genetics and developmental biology research.
  • A. CGC
    CGC is the post-nominal abbreviation for the Conspicuous Gallantry Cross, a high-level British military decoration awarded for exceptional bravery in combat.
  • B. CGC
    CGC is the national organization responsible for managing Canada's participation in the Commonwealth Games and promoting Commonwealth sport within the country.
  • C. CCG
    CCG is the railway station code for Churchgate, a major terminus on Mumbai’s suburban Western line.
  • D. TCG
    TCG (Tiny Code Generator) is QEMU’s built-in dynamic binary translation engine that emulates a target CPU by translating its instructions into host machine code in software.
  • E. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b3e3e081908a996b3e57ca4e32 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002606f0e0819081f50dae9e6b7a0d completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00275e44d481909bed62779ea9a0d7 completed May 10, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0027f99d948190b22812f0c9a2c0ff completed May 10, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:06 a.m.