Triple

T11397265
Position Surface form Disambiguated ID Type / Status
Subject Bayer 04 Leverkusen E270008 entity
Predicate kitManufacturer P1500 FINISHED
Object Jako
Jako is a German sportswear and equipment company known for producing football kits and athletic apparel for professional and amateur teams.
 E923561 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: Jako | Statement: [Bayer 04 Leverkusen, kitManufacturer, Jako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jako
Context triple: [Bayer 04 Leverkusen, kitManufacturer, Jako]
  • A. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • B. Jaku
    Jaku is a lesser-known Bantu language belonging to the Jarawan subgroup, spoken by a small community in West Africa.
  • C. Jakan
    Jakan is an alternative name for the Yakan, an indigenous ethnolinguistic group primarily inhabiting Basilan Island in the southern Philippines.
  • D. Jak
    Jak is the main protagonist of the Jak and Daxter video game series, a heroic adventurer who battles oppressive regimes and dark forces across multiple worlds.
  • E. Jino
    Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
  • 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: Jako
Triple: [Bayer 04 Leverkusen, kitManufacturer, Jako]
Generated description
Jako is a German sportswear and equipment company known for producing football kits and athletic apparel for professional and amateur teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jako
Target entity description: Jako is a German sportswear and equipment company known for producing football kits and athletic apparel for professional and amateur teams.
  • A. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • B. Jaku
    Jaku is a lesser-known Bantu language belonging to the Jarawan subgroup, spoken by a small community in West Africa.
  • C. Jakan
    Jakan is an alternative name for the Yakan, an indigenous ethnolinguistic group primarily inhabiting Basilan Island in the southern Philippines.
  • D. Jak
    Jak is the main protagonist of the Jak and Daxter video game series, a heroic adventurer who battles oppressive regimes and dark forces across multiple worlds.
  • E. Jino
    Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cd74280819092f8c420630f4889 completed April 20, 2026, 2:17 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.