Triple

T14416003
Position Surface form Disambiguated ID Type / Status
Subject Davos Seaworth E357451 entity
Predicate origin P410 FINISHED
Object Flea Bottom E1013757 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: Flea Bottom | Statement: [Davos Seaworth, origin, Flea Bottom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flea Bottom
Context triple: [Davos Seaworth, origin, Flea Bottom]
  • A. Flea Bottom chosen
    Flea Bottom is the poorest and most squalid slum district of King’s Landing in the world of Game of Thrones / A Song of Ice and Fire, known for its overcrowded alleys, crime, and desperate poverty.
  • B. Jingletown
    Jingletown is a small, historically industrial and now increasingly arts-oriented neighborhood in Oakland, California, known for its murals and proximity to the Fruitvale district along the Oakland Estuary.
  • C. Frogtown
    Frogtown is a historic, culturally diverse neighborhood in Saint Paul, Minnesota, known for its strong immigrant communities and vibrant local businesses.
  • D. Openshaw
    Openshaw is an inner-city district of Manchester, England, known for its industrial heritage and residential neighborhoods.
  • E. Grahamston
    Grahamston is a district of Falkirk, Scotland, historically known as a residential and industrial area closely linked to the town’s railway and canal networks.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552a75ec8190b966d509d315ca60 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.