Triple

T12958131
Position Surface form Disambiguated ID Type / Status
Subject House Lannister E310070 entity
Predicate region P40 FINISHED
Object Westerlands E357450 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: Westerlands | Statement: [House Lannister, region, Westerlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerlands
Context triple: [House Lannister, region, Westerlands]
  • A. The Westerlands chosen
    The Westerlands is a wealthy, mineral-rich region in the world of Westeros, famed for its gold mines and ruled by House Lannister in George R. R. Martin’s A Song of Ice and Fire series and its TV adaptation Game of Thrones.
  • B. Westerland
    Westerland is the main town and a popular seaside resort on the North Sea island of Sylt in Germany.
  • C. Andalasia
    Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
  • D. Odessos
    Odessos was an ancient Greek-founded port city on the Black Sea, located at the site of modern Varna in Bulgaria.
  • E. Dannevirke
    Dannevirke is a rural service town in New Zealand known for its Scandinavian heritage and farming-based economy.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f0b4c08190a6cb0a098ca6d67b completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:44 p.m.