Triple

T13968951
Position Surface form Disambiguated ID Type / Status
Subject Merit Network E336000 entity
Predicate hasSubsidiary P254 FINISHED
Object MichNet E1072203 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: MichNet | Statement: [Merit Network, hasSubsidiary, MichNet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MichNet
Context triple: [Merit Network, hasSubsidiary, MichNet]
  • A. MichNet chosen
    MichNet was an early academic and research computer network in Michigan that provided statewide connectivity for universities and institutions.
  • B. MILNET
    MILNET was a U.S. military computer network that formed the unclassified, operational branch of the early Defense Data Network, separate from research-focused ARPANET.
  • C. NETCOM
    NETCOM is a major U.S. Army command responsible for operating, securing, and managing the Army’s global enterprise network and communications infrastructure.
  • D. MCIP
    MCIP is the stock ticker symbol for MCI Inc., a former major American telecommunications company known for providing long-distance and internet services.
  • E. NETWORK
    NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac90250881908f1945793d261752 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.