Triple

T14951048
Position Surface form Disambiguated ID Type / Status
Subject Weimarer Land E372793 entity
Predicate containsTown P847 FINISHED
Object Apolda E708770 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: Apolda | Statement: [Weimarer Land, containsTown, Apolda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apolda
Context triple: [Weimarer Land, containsTown, Apolda]
  • A. Apolda chosen
    Apolda is a town in the German state of Thuringia, historically known for its textile and bell-founding industries.
  • B. Polonezköy
    Polonezköy is a historic village on Istanbul’s Asian side known for its 19th-century Polish immigrant heritage, rural atmosphere, and forested surroundings.
  • C. Osiek
    Osiek is a small town in south-central Poland located within the administrative district of Staszów County in the Świętokrzyskie Voivodeship.
  • D. Murów
    Murów is a village in southwestern Poland that serves as the seat of the rural administrative district (gmina) of Murów in Opole Voivodeship.
  • E. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:39 a.m.