Triple

T1662523
Position Surface form Disambiguated ID Type / Status
Subject Paul Baran E35939 entity
Predicate founded P104 FINISHED
Object Metricom E187380 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: Metricom | Statement: [Paul Baran, founded, Metricom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metricom
Context triple: [Paul Baran, founded, Metricom]
  • A. Metricom chosen
    Metricom was a pioneering wireless data communications company best known for its Ricochet wireless internet service in the 1990s.
  • B. Radisys
    Radisys is a U.S.-based telecommunications solutions company known for providing open telecom and digital infrastructure platforms to service providers and network operators worldwide.
  • C. Volacom
    Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
  • D. BBN Technologies
    BBN Technologies is an American research and development company renowned for its pioneering work in computer networking and its key role in creating the ARPANET, the precursor to the modern internet.
  • E. Telcordia Technologies
    Telcordia Technologies is a telecommunications research and development company known for creating industry standards and software solutions for network planning, management, and operations.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab3bd7081908d15d772b10aebbe completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71adb0388190b358e83fa8dfaef5 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.