Triple

T7654729
Position Surface form Disambiguated ID Type / Status
Subject Jan Asselijn E173350 entity
Predicate memberOf P10 FINISHED
Object Bentvueghels E357027 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: Bentvueghels | Statement: [Jan Asselijn, memberOf, Bentvueghels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentvueghels
Context triple: [Jan Asselijn, memberOf, Bentvueghels]
  • A. Bentvueghels chosen
    The Bentvueghels were an informal association of mainly Dutch and Flemish artists active in Rome during the 17th century, known for their bohemian rituals, nicknames, and mutual support.
  • B. Vahcuengh
    Vahcuengh is the native autonym and standardized written form of the Zhuang language, a Tai language spoken primarily in Guangxi, China.
  • C. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • D. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • E. Veeweyde
    Veeweyde is a neighborhood-level district within the Brussels municipality of Anderlecht, known primarily as a residential area served by the Veeweyde metro station.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018d4cdc819092ca297b836190d9 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89afd1438819080c8f097df1d1453 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.