Triple

T22977434
Position Surface form Disambiguated ID Type / Status
Subject Rue E571364 entity
Predicate homeDistrict P29284 FINISHED
Object District 11 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: District 11 | Statement: [Rue, homeDistrict, District 11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District 11
Context triple: [Rue, homeDistrict, District 11]
  • A. District 11
    District 11 is a regional division of the California Department of Transportation (Caltrans) responsible for planning, constructing, and maintaining the state highway system in its assigned area.
  • B. District 11 chosen
    District 11 is one of the poorest, agriculture-focused districts in the dystopian nation of Panem from Suzanne Collins' "The Hunger Games" series.
  • C. District 112
    District 112 is a public school district serving communities on Chicago’s North Shore, known formally as North Shore School District 112.
  • D. District 8
    District 8 is a regional division of the California Department of Transportation responsible for planning, constructing, and maintaining the state highway system in its assigned area of Southern California.
  • E. District 8
    District 8 is one of the industrial districts in the fictional nation of Panem from *The Hunger Games* series, known primarily for its textile and clothing production.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18292f3788190ab4e9d559e0070c8 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:48 p.m.