Triple

T1785291
Position Surface form Disambiguated ID Type / Status
Subject Carrier E39377 entity
Predicate alsoKnownAs P39 FINISHED
Object Carrier Corporation E39375 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: Carrier Corporation | Statement: [Carrier, alsoKnownAs, Carrier Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrier Corporation
Context triple: [Carrier, alsoKnownAs, Carrier Corporation]
  • A. Carrier Corporation chosen
    Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
  • B. Brown Corporation
    Brown Corporation is the primary governing board of Brown University, responsible for overseeing its strategic direction, finances, and institutional policies.
  • C. Canada Company
    Canada Company was a 19th-century British land development firm that played a major role in colonizing and settling parts of Upper Canada (now Ontario).
  • D. Tokyu Corporation
    Tokyu Corporation is a major Japanese private railway and real estate company based in Tokyo, known for operating extensive rail networks and developing commercial and residential areas, particularly around Shibuya.
  • E. Keio Corporation
    Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650d304481908ad9bff3eadf7da6 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf3d06e88190a082b142ff9209ee completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:31 p.m.