Triple

T4614320
Position Surface form Disambiguated ID Type / Status
Subject InterActiveCorp E100829 entity
Predicate hasSubsidiary P254 FINISHED
Object Angi Inc. E100821 NE FINISHED

How this triple was built (2 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: Angi Inc. | Statement: [InterActiveCorp, hasSubsidiary, Angi Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angi Inc.
Context triple: [InterActiveCorp, hasSubsidiary, Angi Inc.]
  • A. Angi Inc. chosen
    Angi Inc. is a U.S.-based online marketplace that connects homeowners with local service professionals for home improvement and repair projects.
  • B. ANI Technologies Pvt. Ltd.
    ANI Technologies Pvt. Ltd. is an Indian ride-hailing and mobility company best known as the parent firm behind the Ola brand, which offers app-based cab, auto-rickshaw, and other transportation services.
  • C. Obayashi Corporation
    Obayashi Corporation is a major Japanese construction and engineering company known for its involvement in large-scale infrastructure and building projects worldwide.
  • D. Anagran, Inc.
    Anagran, Inc. was a networking technology company founded by internet pioneer Lawrence G. Roberts to develop advanced flow-based traffic management solutions.
  • E. ANF Industrie
    ANF Industrie is a French rolling stock manufacturer known for producing railway and metro vehicles, including subway cars such as the R68 for the New York City Subway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c2678c8190ab8f9420e866521d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be035629248190a8723b5f1f9e57bc completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.