Triple

T9632682
Position Surface form Disambiguated ID Type / Status
Subject Compaq ProLiant E232844 entity
Predicate developer P73 FINISHED
Object Compaq E20318 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: Compaq | Statement: [Compaq ProLiant, developer, Compaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Compaq
Context triple: [Compaq ProLiant, developer, Compaq]
  • A. Compaq chosen
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • B. Compaq ProLinea
    Compaq ProLinea was a line of budget-oriented personal computers produced by Compaq in the early 1990s, aimed at small businesses and home users.
  • C. Compaq Deskpro
    The Compaq Deskpro was a pioneering line of business-oriented personal computers that helped establish Compaq as a major PC manufacturer in the 1980s and 1990s.
  • D. Compaq Presario
    Compaq Presario is a line of budget-friendly personal computers and laptops that became widely popular in the 1990s and early 2000s for home and small office use.
  • E. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2783b48190a9929dc3e3cd2956 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190e691c48190800660aba2e03b56 completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 8:11 p.m.