Triple

T7789132
Position Surface form Disambiguated ID Type / Status
Subject Læsø E187329 entity
Predicate hasSettlement P1068 FINISHED
Object Byrum E693561 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: Byrum | Statement: [Læsø, hasSettlement, Byrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byrum
Context triple: [Læsø, hasSettlement, Byrum]
  • A. Byrum chosen
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • B. Brylin
    Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
  • C. Syrdon
    Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
  • D. Bruson
    Bruson is a quieter, traditional Swiss alpine village and ski area in the Valais region, known for its tree-lined slopes and access to the larger 4 Vallées domain.
  • E. Byrns
    Byrns is a surname most notably associated with Joseph W. Byrns, a prominent early 20th-century American politician and Speaker of the U.S. House of Representatives.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7e8a0d08190b6d4ca560681eb35 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb139fdf188190b1c80dd6d008c34d completed March 31, 2026, 12:21 a.m.
Created at: March 30, 2026, 4:25 p.m.