Triple

T10329355
Position Surface form Disambiguated ID Type / Status
Subject Permissions API E242836 entity
Predicate relatedTo P37 FINISHED
Object Geolocation API E72259 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: Geolocation API | Statement: [Permissions API, relatedTo, Geolocation API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geolocation API
Context triple: [Permissions API, relatedTo, Geolocation API]
  • A. Geolocation API chosen
    Geolocation API is a Google Maps web service that determines a device’s approximate location using nearby cell towers, Wi-Fi nodes, and other network-based signals instead of GPS.
  • B. Geo
    Geo was a defunct General Motors automobile brand from the late 1980s and 1990s that specialized in small, economy cars often built in partnership with foreign manufacturers.
  • C. Geo
    Geo is a short form of the given name Georges, often used as an informal or familiar nickname.
  • D. Core Location
    Core Location is an Apple framework that provides location and heading services to apps, enabling them to determine a device’s geographic position and related location data.
  • E. Geocoding API
    The Geocoding API is a Google Maps web service that converts between human-readable addresses and geographic coordinates for use in mapping and location-based 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cfd54c8190b6f88598339536d1 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504679ec8190926d2c5016653cea completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:52 a.m.