Triple

T3047870
Position Surface form Disambiguated ID Type / Status
Subject Toyota Production System E83492 entity
Predicate corePrinciple P533 FINISHED
Object heijunka
Heijunka is a lean manufacturing method for leveling production by volume and mix to reduce waste, variability, and overburden in the workflow.
 E323026 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: heijunka | Statement: [Toyota Production System, corePrinciple, heijunka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: heijunka
Context triple: [Toyota Production System, corePrinciple, heijunka]
  • A. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • B. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • C. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • D. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • E. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • 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: heijunka
Triple: [Toyota Production System, corePrinciple, heijunka]
Generated description
Heijunka is a lean manufacturing method for leveling production by volume and mix to reduce waste, variability, and overburden in the workflow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: heijunka
Target entity description: Heijunka is a lean manufacturing method for leveling production by volume and mix to reduce waste, variability, and overburden in the workflow.
  • A. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • B. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • C. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • D. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • E. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9baed3848190a8351d9c8c4edc79 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1f0ad56dc81909c96018e34345fda completed March 11, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1f13a34c88190aa829d8d87a5d29b completed March 11, 2026, 10:48 p.m.
Created at: March 8, 2026, 3:01 p.m.