Triple

T12989087
Position Surface form Disambiguated ID Type / Status
Subject Doetinchem E321848 entity
Predicate region P40 FINISHED
Object Liemers (partly associated) E547483 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: Liemers (partly associated) | Statement: [Doetinchem, region, Liemers (partly associated)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liemers (partly associated)
Context triple: [Doetinchem, region, Liemers (partly associated)]
  • A. Liemers chosen
    Liemers is a region in the eastern Netherlands, located in the province of Gelderland near the German border.
  • B. Hilmers
    Hilmers is the surname of David C. Hilmers, an American engineer, former NASA astronaut, and physician.
  • C. Lammers
    Lammers is a German surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • D. Lia
    Lia is a Japanese singer best known for performing iconic anime theme songs, including the opening of Angel Beats!.
  • E. Kennemers
    The Kennemers were a medieval Frisian-Dutch coastal people from the region of present-day North Holland in the Netherlands, historically known for their role in regional conflicts and trade.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e75b9f88190a54372c2a1223a4e completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f942588190b69a3067d5145182 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:42 p.m.