Triple

T4757381
Position Surface form Disambiguated ID Type / Status
Subject Colophon E105620 entity
Predicate hadHarbor P3007 FINISHED
Object Notion E413996 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: Notion | Statement: [Colophon, hadHarbor, Notion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Notion
Context triple: [Colophon, hadHarbor, Notion]
  • A. Notion chosen
    Notion is a popular productivity and collaboration platform that combines note-taking, databases, task management, and wikis into a single customizable workspace.
  • B. Simplenote
    Simplenote is a minimalist, cross-platform note-taking app focused on fast, distraction-free writing and seamless cloud syncing.
  • C. Trello
    Trello is a web-based project management and collaboration tool that uses boards, lists, and cards to help teams organize and track work visually.
  • D. Airtable
    Airtable is a cloud-based platform that combines the simplicity of a spreadsheet with the power of a relational database to help users organize and collaborate on data.
  • E. Evernote
    Evernote is a cross-platform note-taking and organization application that lets users capture, sync, and manage text, images, and other content across devices.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ec16a0819089836e4388b555f6 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d884e0481908c0214fe93348753 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:20 p.m.