Triple

T7079741
Position Surface form Disambiguated ID Type / Status
Subject Barry Glick E164919 entity
Predicate notableWork P4 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: [Barry Glick, notableWork, MapQuest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MapQuest
Context triple: [Barry Glick, notableWork, 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f063488190b9e1c614a9294bd1 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8f11a48190a2a1f6ad99dc04b9 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:40 p.m.