Triple

T12340343
Position Surface form Disambiguated ID Type / Status
Subject Claudius Templesmith E294204 entity
Predicate settingUniverse P16450 FINISHED
Object Panem E571335 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: Panem | Statement: [Claudius Templesmith, settingUniverse, Panem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panem
Context triple: [Claudius Templesmith, settingUniverse, Panem]
  • A. Panem chosen
    Panem is the dystopian North American nation in Suzanne Collins' "The Hunger Games" series, ruled by an authoritarian Capitol that oppresses its surrounding districts.
  • B. Katni
    Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
  • C. District 12
    District 12 is a regional division of Caltrans responsible for planning, constructing, and maintaining the state highway system in Orange County, California.
  • D. District 12
    District 12 is the impoverished coal-mining district in Panem best known as the home of Katniss Everdeen in The Hunger Games series.
  • E. Pajottenland
    Pajottenland is a rural region in the southwest of the Belgian province of Flemish Brabant, known for its rolling countryside, traditional farms, and production of lambic and gueuze beers.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aaa1d548190be065412aab70385 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.