Triple

T10993952
Position Surface form Disambiguated ID Type / Status
Subject LDCL E259815 entity
Predicate relatedTo P37 FINISHED
Object Opsware E47370 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: Opsware | Statement: [LDCL, relatedTo, Opsware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opsware
Context triple: [LDCL, relatedTo, Opsware]
  • A. Opsware chosen
    Opsware was a data center automation and IT infrastructure management software company, best known for being co-founded by Marc Andreessen and later acquired by Hewlett-Packard.
  • B. Avaya
    Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
  • C. AdventNet Inc.
    AdventNet Inc. was the original name of Zoho Corporation, a software company best known for its suite of online productivity and business applications.
  • D. Agere Systems
    Agere Systems was a semiconductor company specializing in communications and networking integrated circuits, formed as a spin-off from Lucent Technologies.
  • E. Megaco
    Megaco is a signaling protocol used in telecommunications networks to control media gateways that connect different types of communication systems, such as VoIP and traditional telephone networks.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d460d88190bff918d6dfdb0f93 completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9644ff08190a3005e4f6a8243fe completed April 18, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:24 p.m.