Triple

T10948033
Position Surface form Disambiguated ID Type / Status
Subject C-2A Greyhound E258646 entity
Predicate designation P38 FINISHED
Object C-2A
The C-2A is a twin-engine, high-wing cargo aircraft used by the U.S. Navy primarily for carrier onboard delivery (COD) missions.
 E895718 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: C-2A | Statement: [C-2A Greyhound, designation, C-2A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C-2A
Context triple: [C-2A Greyhound, designation, C-2A]
  • A. C-21A
    The C-21A is a U.S. military transport and medical evacuation aircraft derived from the Learjet 35 business jet.
  • B. C-20
    C-20 is the NATO reporting name for the Gulfstream C-20, a military transport and VIP aircraft derived from the Gulfstream III business jet.
  • C. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • D. C-29
    The C-29 is a U.S. military variant of the British Hawker Siddeley HS 125 business jet used primarily for transport and training roles.
  • E. C-212-300
    The C-212-300 is an upgraded variant of the CASA C-212 Aviocar, featuring improved engines and performance for short takeoff and landing transport and utility missions.
  • 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: C-2A
Triple: [C-2A Greyhound, designation, C-2A]
Generated description
The C-2A is a twin-engine, high-wing cargo aircraft used by the U.S. Navy primarily for carrier onboard delivery (COD) missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C-2A
Target entity description: The C-2A is a twin-engine, high-wing cargo aircraft used by the U.S. Navy primarily for carrier onboard delivery (COD) missions.
  • A. C-21A
    The C-21A is a U.S. military transport and medical evacuation aircraft derived from the Learjet 35 business jet.
  • B. C-20
    C-20 is the NATO reporting name for the Gulfstream C-20, a military transport and VIP aircraft derived from the Gulfstream III business jet.
  • C. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • D. C-29
    The C-29 is a U.S. military variant of the British Hawker Siddeley HS 125 business jet used primarily for transport and training roles.
  • E. C-212-300
    The C-212-300 is an upgraded variant of the CASA C-212 Aviocar, featuring improved engines and performance for short takeoff and landing transport and utility missions.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ebac3c8190849ddda3d9d37327 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c4a75688190894c83b8964509a6 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.