Triple

T3167672
Position Surface form Disambiguated ID Type / Status
Subject Enterprise (TechCrunch section) E66251 entity
Predicate partOf P40 FINISHED
Object TechCrunch E10979 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: TechCrunch | Statement: [Enterprise (TechCrunch section), partOf, TechCrunch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TechCrunch
Context triple: [Enterprise (TechCrunch section), partOf, TechCrunch]
  • A. TechCrunch chosen
    TechCrunch is a leading technology news website and media platform known for its coverage of startups, Silicon Valley, and the tech industry.
  • B. Google I/O
    Google I/O is Google’s annual developer conference focused on showcasing new technologies, software updates, and tools across its platforms and services.
  • C. IDG World Expo
    IDG World Expo is a trade show and conference organizer known for producing major technology events and exhibitions worldwide.
  • D. MWC
    MWC is the commonly used abbreviation for Mennonite World Conference, a global community and fellowship of Anabaptist-related churches.
  • E. UBM Tech
    UBM Tech was a business-to-business media and information company focused on the technology industry, known for publishing specialized tech publications and running industry events and conferences.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6457acc8190b2b9acbd1cfcdb91 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.