Triple

T31008601
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Konstanz E790142 entity
Predicate contains P35 FINISHED
Object Gemeinde Aach
Gemeinde Aach is a small municipality in the district of Konstanz in the German state of Baden-Württemberg, known for its location near the Aach River and the Aachtopf karst spring.
E1943080 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: Gemeinde Aach | Statement: [Landkreis Konstanz, contains, Gemeinde Aach]
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: Gemeinde Aach
Triple: [Landkreis Konstanz, contains, Gemeinde Aach]
Generated description
Gemeinde Aach is a small municipality in the district of Konstanz in the German state of Baden-Württemberg, known for its location near the Aach River and the Aachtopf karst spring.

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_69f224c73ca48190a1e46cb58ad4045b completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69446f3488190b507b4706a7dffc6 completed May 3, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29183989308190bed146c08edbe4ff completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a2918c754a081908efa5cad3cbcd61a completed June 10, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_6a291aea3874819094723f7dd4b01c99 completed June 10, 2026, 8:06 a.m.
Created at: April 29, 2026, 8:57 p.m.