Triple

T14129167
Position Surface form Disambiguated ID Type / Status
Subject John Brierley E340115 entity
Predicate searchMethod P859 FINISHED
Object Google Earth E72249 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 Earth | Statement: [John Brierley, searchMethod, Google Earth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Earth
Context triple: [John Brierley, searchMethod, Google Earth]
  • A. Google Earth chosen
    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.
  • B. Google Maps
    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.
  • C. 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.
  • D. 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.
  • E. Google Latitude
    Google Latitude was a location-based service by Google that allowed users to share their real-time geographic location with friends via mobile devices and the web.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0ed0a88190a7126887364fccdd completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:23 p.m.