Triple

T17568692
Position Surface form Disambiguated ID Type / Status
Subject iPhone OS 2.0 E427880 entity
Predicate includedApplication P1393 FINISHED
Object Maps NE NERFINISHED

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: Maps | Statement: [iPhone OS 2.0, includedApplication, Maps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maps
Context triple: [iPhone OS 2.0, includedApplication, Maps]
  • A. Maps chosen
    Maps is Apple's native mapping and navigation application that provides turn-by-turn directions, points of interest, and integrated location services across its devices.
  • B. Map
    Map is a 1961 painting by American artist Jasper Johns that depicts a large, abstracted map of the United States using his characteristic blend of recognizable imagery and painterly experimentation.
  • C. MAP
    MAP (Mobile Application Part) is a telecommunications protocol used in Signaling System No. 7 networks to support mobile services such as roaming, authentication, and SMS.
  • D. MAP
    MAP is the commonly used abbreviation for the Market Access Program, a U.S. government initiative that helps promote the export of American agricultural products.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.