Triple

T22253
Position Surface form Disambiguated ID Type / Status
Subject Silicon Valley E441 entity
Predicate hasCompany P1287 FINISHED
Object Hewlett Packard Enterprise E7429 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: Hewlett Packard Enterprise | Statement: [Silicon Valley, hasCompany, Hewlett Packard Enterprise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hewlett Packard Enterprise
Context triple: [Silicon Valley, hasCompany, Hewlett Packard Enterprise]
  • A. Hewlett-Packard chosen
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • B. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • C. Cisco Systems
    Cisco Systems is a multinational technology conglomerate best known for designing and selling networking hardware, software, and telecommunications equipment used worldwide.
  • D. Red Hat
    Red Hat is a leading American open-source software company best known for its enterprise Linux distribution and related cloud and middleware solutions.
  • E. Intel Corporation
    Intel Corporation is a leading American semiconductor company best known for designing and manufacturing microprocessors that power the majority of the world’s personal computers and servers.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2481e91c88190ad0fb09cddc5f446 completed Feb. 28, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275dd42388190b9088b2f1b16e5e4 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.