Triple

T25137709
Position Surface form Disambiguated ID Type / Status
Subject German Aerospace Center site Lampoldshausen E629705 entity
Predicate locatedOn P40 FINISHED
Object Kochertal
Kochertal is a valley in the Hohenlohe region of Baden-Württemberg, Germany, shaped by the Kocher River and known for its scenic landscapes and infrastructure such as the Kochertalbrücke.
E1686968 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: Kochertal | Statement: [German Aerospace Center site Lampoldshausen, locatedOn, Kochertal]
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: Kochertal
Triple: [German Aerospace Center site Lampoldshausen, locatedOn, Kochertal]
Generated description
Kochertal is a valley in the Hohenlohe region of Baden-Württemberg, Germany, shaped by the Kocher River and known for its scenic landscapes and infrastructure such as the Kochertalbrücke.

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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f46600ae608190ae5e662fd4a7e5a5 completed May 1, 2026, 8:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b71ddaf08190a12df66a0903748b completed May 22, 2026, 8:05 p.m.
NEDg Description generation batch_6a10b82504908190904c1ed84610e0c4 completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
Created at: April 18, 2026, 6:29 a.m.