Triple

T7239113
Position Surface form Disambiguated ID Type / Status
Subject Genthin E155308 entity
Predicate hasSubdivision P747 FINISHED
Object Tucheim
Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
 E650802 NE FINISHED

How this triple was built (4 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: Tucheim | Statement: [Genthin, hasSubdivision, Tucheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tucheim
Context triple: [Genthin, hasSubdivision, Tucheim]
  • A. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Hankutchin
    Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tucheim
Triple: [Genthin, hasSubdivision, Tucheim]
Generated description
Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tucheim
Target entity description: Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
  • A. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Hankutchin
    Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
  • F. None of above. chosen

Provenance (5 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7ce24f4148190877852983c9aadb5 completed March 28, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7ce9f73508190a2d1eb35237c3073 completed March 28, 2026, 12:50 p.m.
Created at: March 27, 2026, 2:55 p.m.