Triple

T14439269
Position Surface form Disambiguated ID Type / Status
Subject StarTeam E358044 entity
Predicate developedBy P73 FINISHED
Object OpenText E183091 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: OpenText | Statement: [StarTeam, developedBy, OpenText]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenText
Context triple: [StarTeam, developedBy, OpenText]
  • A. OpenText Corporation chosen
    OpenText Corporation is a Canadian enterprise information management and software company known for providing content management, business process management, and analytics solutions to organizations worldwide.
  • B. OpenText Core Share
    OpenText Core Share is a cloud-based content collaboration and file-sharing platform that enables secure document storage, access, and sharing for enterprises.
  • C. OpenText AppWorks
    OpenText AppWorks is a low-code application development and process automation platform that helps organizations rapidly build, deploy, and manage business applications and workflows.
  • D. OpenText Content Suite
    OpenText Content Suite is an enterprise content management platform that helps organizations securely manage, govern, and access large volumes of business information and documents.
  • E. Documentum
    Documentum is an enterprise content management platform that provides tools for storing, organizing, and controlling access to large volumes of digital documents and records.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd7f46881908df1a1cea7b6af9b completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.