Triple

T13549253
Position Surface form Disambiguated ID Type / Status
Subject A Long Way Home E323596 entity
Predicate hasSubject P450 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: [A Long Way Home, hasSubject, Google Earth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Earth
Context triple: [A Long Way Home, hasSubject, 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb0195c8190b62e7aad4d78f899 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:45 p.m.