Triple

T11160585
Position Surface form Disambiguated ID Type / Status
Subject Snap Map E264023 entity
Predicate hasName P744 FINISHED
Object Snap Map E264023 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: Snap Map | Statement: [Snap Map, hasName, Snap Map]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snap Map
Context triple: [Snap Map, hasName, Snap Map]
  • A. Snap Map chosen
    Snap Map is a Snapchat feature that lets users share and view friends’ real-time locations and public stories on an interactive world map.
  • B. Maps.me
    Maps.me is a mobile navigation app that provides offline maps and routing based on OpenStreetMap data.
  • C. MAP
    MAP was the abbreviated name used for the United Kingdom’s Ministry of Aircraft Production, the World War II government department responsible for overseeing and increasing aircraft manufacturing.
  • D. 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.
  • E. Mapam
    Mapam was a left-wing socialist Zionist political party in Israel that played a significant role in the early decades of the state, particularly within the kibbutz movement and peace-oriented politics.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8817a90819087820d5241c58851 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4636268d0819088873f2062115506 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:29 p.m.