Triple

T20545963
Position Surface form Disambiguated ID Type / Status
Subject Vertol Model 107 E504469 entity
Predicate developedInto P1245 FINISHED
Object KV-107
KV-107 is a twin-engine, tandem-rotor military and transport helicopter derived from the Vertol Model 107 and widely used by Japan and other operators.
E1437357 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: KV-107 | Statement: [Vertol Model 107, developedInto, KV-107]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KV-107
Context triple: [Vertol Model 107, developedInto, KV-107]
  • A. KV-85
    The KV-85 was a Soviet World War II heavy tank that combined the KV-series chassis with an 85 mm gun as a transitional design leading to the IS-series tanks.
  • B. KV-220
    KV-220 was a Soviet experimental heavy tank prototype developed as an up-armored and more heavily armed evolution of the KV series before World War II.
  • C. KV-8
    KV-8 was a Soviet World War II flamethrower tank variant based on the KV heavy tank chassis, designed to provide close-support fire against enemy fortifications and infantry.
  • D. K-7
    K-7 is a north–south state highway in eastern Kansas that serves as a major transportation route through multiple counties, including Miami County.
  • E. T-10
    T-10 is the station code for Nihonbashi Station on Tokyo Metro’s Tozai Line in central Tokyo.
  • 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: KV-107
Triple: [Vertol Model 107, developedInto, KV-107]
Generated description
KV-107 is a twin-engine, tandem-rotor military and transport helicopter derived from the Vertol Model 107 and widely used by Japan and other operators.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KV-107
Target entity description: KV-107 is a twin-engine, tandem-rotor military and transport helicopter derived from the Vertol Model 107 and widely used by Japan and other operators.
  • A. KV-85
    The KV-85 was a Soviet World War II heavy tank that combined the KV-series chassis with an 85 mm gun as a transitional design leading to the IS-series tanks.
  • B. KV-220
    KV-220 was a Soviet experimental heavy tank prototype developed as an up-armored and more heavily armed evolution of the KV series before World War II.
  • C. KV-8
    KV-8 was a Soviet World War II flamethrower tank variant based on the KV heavy tank chassis, designed to provide close-support fire against enemy fortifications and infantry.
  • D. K-7
    K-7 is a north–south state highway in eastern Kansas that serves as a major transportation route through multiple counties, including Miami County.
  • E. T-10
    T-10 is the station code for Nihonbashi Station on Tokyo Metro’s Tozai Line in central Tokyo.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a298630c8190993d53fc27eb3aec completed April 20, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a56d914c819093105dfbeef686f7 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a66836d88190a63b42663455e491 completed May 16, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a08a6e4bd1c8190969cf969812a2e56 completed May 16, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:38 a.m.