Triple

T7858623
Position Surface form Disambiguated ID Type / Status
Subject Microsoft .NET documentation E182437 entity
Predicate topic P261 FINISHED
Object MAUI E34610 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: MAUI | Statement: [Microsoft .NET documentation, topic, MAUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAUI
Context triple: [Microsoft .NET documentation, topic, MAUI]
  • A. MAUI chosen
    MAUI (Multi-platform App UI) is a Microsoft framework for building native cross-platform applications for mobile, desktop, and other devices using a single .NET codebase.
  • B. Lawaan
    Lawaan is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and natural landscapes.
  • C. Honolulu–Maui
    Honolulu–Maui is a key inter-island air route in Hawaii connecting the state capital on Oʻahu with the major island of Maui.
  • D. Hana, Hawaii
    Hana, Hawaii is a small, remote town on the eastern coast of Maui known for its lush tropical landscapes, scenic coastal highway, and relatively undeveloped, traditional Hawaiian character.
  • E. Oahu South Shore
    Oahu South Shore is the popular coastal region of Oahu that includes Honolulu and Waikiki, known for its beaches, surf breaks, and urban resort atmosphere.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a787c8c8190bcd9ed76cc7aa4c5 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b38d7e08190a3459d1e0c6f4c6d completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:52 p.m.