Triple

T5842448
Position Surface form Disambiguated ID Type / Status
Subject PUM E129624 entity
Predicate underlyingCompanyType P66662 FINISHED
Object public company LITERAL 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: public company | Statement: [PUM, underlyingCompanyType, public company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyType
Context triple: [PUM, underlyingCompanyType, public company]
  • A. underlyingCompany
    Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
  • B. underlyingCompanyName
    Indicates the name of the company that serves as the foundational or primary entity underlying another entity, structure, or instrument.
  • C. backedCompanyType
    Indicates the type or category of company that is being financially supported or invested in by another party.
  • D. industryOfUnderlyingCompany
    Indicates the industry sector in which the underlying company associated with this entity operates.
  • E. underlyingCompanyService
    Indicates that one entity functions as a foundational or supporting service for another company or business entity.
  • F. None of above. chosen

Provenance (4 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
PDg Predicate description generation batch_69c03c8d579081909d7b97fc9014b5d7 completed March 22, 2026, 7:01 p.m.
Created at: March 22, 2026, 3:54 p.m.