Triple

T14371598
Position Surface form Disambiguated ID Type / Status
Subject Google Shopping E356369 entity
Predicate formerName P65 FINISHED
Object Google Product Search E356369 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: Google Product Search | Statement: [Google Shopping, formerName, Google Product Search]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Product Search
Context triple: [Google Shopping, formerName, Google Product Search]
  • A. Google Search
    Google Search is a widely used web search engine developed by Google that allows users to find information, websites, images, and other content across the internet.
  • B. Britannica ImageQuest
    Britannica ImageQuest is a curated educational image database offering millions of rights-cleared photos and illustrations for teaching and learning.
  • C. Google Shopping chosen
    Google Shopping is a Google service that lets users search for, compare, and discover products from various online retailers.
  • D. Google Lens
    Google Lens is an image recognition and search tool by Google that uses artificial intelligence to identify objects, text, and scenes from a device’s camera or photos and provide relevant information or actions.
  • E. Yandex Search
    Yandex Search is a Russian-developed web search engine that powers Yandex’s ecosystem of online services and tools.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.