Triple

T4554948
Position Surface form Disambiguated ID Type / Status
Subject Verizon Media E120457 entity
Predicate ownedBrand P1500 FINISHED
Object MapQuest E10977 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: MapQuest | Statement: [Verizon Media, ownedBrand, MapQuest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MapQuest
Context triple: [Verizon Media, ownedBrand, MapQuest]
  • A. MapQuest chosen
    MapQuest is an early online mapping and driving directions service that became one of the first widely used web-based navigation tools.
  • B. Waze
    Waze is a community-driven GPS navigation app that provides real-time traffic updates, route guidance, and incident reports from its users.
  • C. Bing Maps
    Bing Maps is Microsoft's web-based mapping and navigation service offering road maps, aerial imagery, directions, and location-based search.
  • D. Maps Platform Maps Library
    Maps Platform Maps Library is a JavaScript library from Google that lets developers embed and customize interactive Google Maps within their web applications.
  • E. Maps Platform Web Services
    Maps Platform Web Services is a suite of HTTP-based Google Maps APIs that let developers integrate mapping, routing, geocoding, and related location-based functionality into web and server applications.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5813af948190b10b02dadf6496bf completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc57d59f88190857cbda79caf3c38 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.