Triple

T20712712
Position Surface form Disambiguated ID Type / Status
Subject Tote E509087 entity
Predicate hasAlternativeName P39 FINISHED
Object Tote app NE NERFINISHED

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: Tote app | Statement: [Tote, hasAlternativeName, Tote app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tote app
Context triple: [Tote, hasAlternativeName, Tote app]
  • A. Tote (predecessor app) chosen
    Tote was an early mobile shopping and bookmarking app that served as the conceptual and functional precursor to Pinterest’s visual discovery platform.
  • B. Appin
    Appin is a coastal district in the Scottish Highlands known for its scenic landscapes, historic sites, and views over Loch Linnhe.
  • C. Appin
    Appin is a small town in New South Wales, Australia, known for its rural character and historical significance in the Macarthur region.
  • D. ABC app
    ABC app is a streaming platform from the ABC television network that lets viewers watch live and on-demand ABC programming, including college football broadcasts.
  • E. TMB App
    TMB App is the official mobile application for Barcelona’s public transport network, providing route planning, real-time information, and ticketing services for metro, bus, and other transit options.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ce84e48190922db93ed4b5d21b completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:15 p.m.