Triple

T10470925
Position Surface form Disambiguated ID Type / Status
Subject Commander Lyme E246918 entity
Predicate affiliation P10 FINISHED
Object District 13 E571361 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: District 13 | Statement: [Commander Lyme, affiliation, District 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District 13
Context triple: [Commander Lyme, affiliation, District 13]
  • A. District XIII
    District XIII is a central district of Budapest known for its mix of residential neighborhoods, business centers, and the popular Margaret Island recreational area.
  • B. District 12
    District 12 is a regional division of Caltrans responsible for planning, constructing, and maintaining the state highway system in Orange County, California.
  • C. District 12 chosen
    District 12 is the impoverished coal-mining district in Panem best known as the home of Katniss Everdeen in The Hunger Games series.
  • D. Panem
    Panem is the dystopian North American nation in Suzanne Collins' "The Hunger Games" series, ruled by an authoritarian Capitol that oppresses its surrounding districts.
  • E. Katni
    Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a0094910819094d492c87b31898e completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.