Triple

T12085051
Position Surface form Disambiguated ID Type / Status
Subject Johann August Ernesti E287784 entity
Predicate placeOfBirth P1 FINISHED
Object Tennstädt
Tennstädt is a small town in the Thuringia region of central Germany.
E1020643 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: Tennstädt | Statement: [Johann August Ernesti, placeOfBirth, Tennstädt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennstädt
Context triple: [Johann August Ernesti, placeOfBirth, Tennstädt]
  • A. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • B. Trostberg
    Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
  • C. Perasdorf
    Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
  • D. Burgstädt
    Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
  • E. Dornstadt
    Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
  • 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: Tennstädt
Triple: [Johann August Ernesti, placeOfBirth, Tennstädt]
Generated description
Tennstädt is a small town in the Thuringia region of central Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tennstädt
Target entity description: Tennstädt is a small town in the Thuringia region of central Germany.
  • A. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • B. Trostberg
    Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
  • C. Perasdorf
    Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
  • D. Burgstädt
    Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
  • E. Dornstadt
    Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91513bbb0819084a8bb877e03060c completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e476d48190b6d9fafa7fe1cb9f completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d943a80c81909bc39b9a9ef303bd completed May 3, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69f6da1e56388190b536831b2c6d493f completed May 3, 2026, 5:16 a.m.
Created at: April 8, 2026, 9:48 p.m.