Triple

T7893611
Position Surface form Disambiguated ID Type / Status
Subject Recruit Holdings E183295 entity
Predicate owns P347 FINISHED
Object SUUMO
SUUMO is a major Japanese real estate information and housing search service brand operated by Recruit Holdings.
 E697380 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: SUUMO | Statement: [Recruit Holdings, owns, SUUMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUUMO
Context triple: [Recruit Holdings, owns, SUUMO]
  • A. DMM
    DMM is the IATA airport code for King Fahd International Airport, the major international airport serving the Dammam region in Saudi Arabia.
  • B. DMM
    DMM is the United States Postal Service’s Domestic Mail Manual, which sets the official standards and regulations for mailing within the United States.
  • C. Flytoget
    Flytoget is Norway’s high-speed airport express train service that connects Oslo Airport with Oslo and surrounding areas.
  • D. Cazoo
    Cazoo is a UK-based online car retailer known for its high-profile sports sponsorships and rapid growth in the digital automotive marketplace.
  • E. Flippa
    Flippa is an online marketplace where people buy and sell websites, apps, and other digital businesses.
  • 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: SUUMO
Triple: [Recruit Holdings, owns, SUUMO]
Generated description
SUUMO is a major Japanese real estate information and housing search service brand operated by Recruit Holdings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUUMO
Target entity description: SUUMO is a major Japanese real estate information and housing search service brand operated by Recruit Holdings.
  • A. DMM
    DMM is the IATA airport code for King Fahd International Airport, the major international airport serving the Dammam region in Saudi Arabia.
  • B. DMM
    DMM is the United States Postal Service’s Domestic Mail Manual, which sets the official standards and regulations for mailing within the United States.
  • C. Flytoget
    Flytoget is Norway’s high-speed airport express train service that connects Oslo Airport with Oslo and surrounding areas.
  • D. Cazoo
    Cazoo is a UK-based online car retailer known for its high-profile sports sponsorships and rapid growth in the digital automotive marketplace.
  • E. Flippa
    Flippa is an online marketplace where people buy and sell websites, apps, and other digital businesses.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a008fb88190a039fec40483ab93 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba9c2ac8190b8faf1518390dff4 completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb5f1e84fc8190b535016cb69405b4 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb76a214488190b90e5db28511daa0 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:01 p.m.