Triple

T7433498
Position Surface form Disambiguated ID Type / Status
Subject Niles Elementary School District 71 E171547 entity
Predicate municipalityServed P3936 FINISHED
Object Niles E153650 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: Niles | Statement: [Niles Elementary School District 71, municipalityServed, Niles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niles
Context triple: [Niles Elementary School District 71, municipalityServed, Niles]
  • A. Niles chosen
    Niles is a historic former town in California, now a district of Fremont, known for its early silent film industry and railroad heritage.
  • B. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • C. Gustavus
    Gustavus is a Latinized masculine given name historically borne by several Swedish kings and used in various European and English-speaking contexts.
  • D. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • E. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f327480481909c4691fd3333e2ae completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f1d8af48190af856b5e2438781d completed March 28, 2026, 6:34 p.m.
Created at: March 27, 2026, 3:12 p.m.