Triple

T18859401
Position Surface form Disambiguated ID Type / Status
Subject Nakajima L2D E461267 entity
Predicate militaryDesignation P7137 FINISHED
Object L2D
L2D was the Imperial Japanese Navy’s license-built version of the Douglas DC-3 transport aircraft, used primarily for military transport duties during World War II.
 E1346418 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: L2D | Statement: [Nakajima L2D, militaryDesignation, L2D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L2D
Context triple: [Nakajima L2D, militaryDesignation, L2D]
  • A. L2
    L2 is the common shorthand for Ligue 2, the second tier of professional football in the French league system.
  • B. L2
    L2 is the second Sun–Earth Lagrange point, a gravitationally stable location in space used by space telescopes such as the James Webb Space Telescope for observation.
  • C. L2
    L2 is the commonly used designation for Line 2 of the Barcelona Metro, a rapid transit line serving several central and northern districts of the city.
  • D. L$D
    "L$D" is a psychedelic, melody-driven hip-hop track by A$AP Rocky that blends trippy production with introspective lyrics and experimental visuals.
  • E. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: L2D
Triple: [Nakajima L2D, militaryDesignation, L2D]
Generated description
L2D was the Imperial Japanese Navy’s license-built version of the Douglas DC-3 transport aircraft, used primarily for military transport duties during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L2D
Target entity description: L2D was the Imperial Japanese Navy’s license-built version of the Douglas DC-3 transport aircraft, used primarily for military transport duties during World War II.
  • A. L2
    L2 is the second Sun–Earth Lagrange point, a gravitationally stable location in space used by space telescopes such as the James Webb Space Telescope for observation.
  • B. L2
    L2 is the common shorthand for Ligue 2, the second tier of professional football in the French league system.
  • C. L2
    L2 is the commonly used designation for Line 2 of the Barcelona Metro, a rapid transit line serving several central and northern districts of the city.
  • D. L$D
    "L$D" is a psychedelic, melody-driven hip-hop track by A$AP Rocky that blends trippy production with introspective lyrics and experimental visuals.
  • E. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05fb800819098951ec134a1fa2a completed April 20, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575b548cc8190bfb4974354307e29 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a057655a6a88190bc766e06c8fcbf75 completed May 14, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0576d85c9c819090def1fec6603342 completed May 14, 2026, 7:16 a.m.
Created at: April 10, 2026, 11:57 a.m.