Triple

T14764402
Position Surface form Disambiguated ID Type / Status
Subject Google infrastructure E346956 entity
Predicate usedFor P98 FINISHED
Object Google Maps E13774 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 Maps | Statement: [Google infrastructure, usedFor, Google Maps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Maps
Context triple: [Google infrastructure, usedFor, Google Maps]
  • A. Google Maps chosen
    Google Maps is a web-based mapping and navigation service by Google that provides detailed maps, real-time GPS navigation, traffic conditions, and location search worldwide.
  • B. Baidu Maps
    Baidu Maps is a Chinese web mapping and navigation service offering detailed maps, real-time traffic, and location-based services primarily for users in China.
  • C. MapKit
    MapKit is an Apple framework that enables developers to embed interactive maps and location-based features into their iOS, macOS, watchOS, and tvOS applications.
  • D. Nokia HERE Maps
    Nokia HERE Maps is a mapping and navigation service offering offline maps, turn-by-turn directions, and location-based features across multiple devices and platforms.
  • E. Google Earth
    Google Earth is a virtual globe and mapping application that lets users explore detailed satellite imagery, 3D terrain, and geographic information for locations around the world.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf4cef081909fa62125f43b36bc completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.