Triple

T3774646
Position Surface form Disambiguated ID Type / Status
Subject County of Loon E83279 entity
Predicate namedAfter P63 FINISHED
Object Borgloon E387254 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: Borgloon | Statement: [County of Loon, namedAfter, Borgloon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borgloon
Context triple: [County of Loon, namedAfter, Borgloon]
  • A. Borgloon chosen
    Borgloon is a historic town in the Belgian province of Limburg that once served as the political and administrative center of the medieval County of Loon.
  • B. Borsele
    Borsele is a municipality in the Dutch province of Zeeland, known for its rural landscape, villages, and the nearby Borssele nuclear power plant.
  • C. Beobanka
    Beobanka was a Yugoslav commercial bank based in Serbia that operated during the socialist and post-socialist periods before being dissolved amid the country’s 1990s economic turmoil.
  • D. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • E. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc594c50819099ab5ac1b82f61a6 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f039cd9c81908ea1428f2c328cdb completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:36 p.m.