Triple

T3427592
Position Surface form Disambiguated ID Type / Status
Subject Roads API E72260 entity
Predicate maintainer P2962 FINISHED
Object Google Maps Platform team 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 Platform team | Statement: [Roads API, maintainer, Google Maps Platform team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Maps Platform team
Context triple: [Roads API, maintainer, Google Maps Platform team]
  • 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. 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.
  • C. 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.
  • D. Google Chrome team
    The Google Chrome team is the group at Google responsible for developing, maintaining, and improving the Chrome web browser and its related channels and features.
  • E. OGLE
    OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb982792c8190b1163eee4252210f completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35478448481908e1c0f717d99f992 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.