Triple

T31098069
Position Surface form Disambiguated ID Type / Status
Subject Jachenau E792589 entity
Predicate hasWatercourse P165 FINISHED
Object Jachen River
The Jachen River is a mountain river in Bavaria, Germany, flowing through the Jachenau valley before joining the Isar.
 E2295671 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: Jachen River | Statement: [Jachenau, hasWatercourse, Jachen River]
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: Jachen River
Triple: [Jachenau, hasWatercourse, Jachen River]
Generated description
The Jachen River is a mountain river in Bavaria, Germany, flowing through the Jachenau valley before joining the Isar.

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_69f224cf157c81909e2d2bd88c9282c3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6966fdcc481909ce31348b08a1501 completed May 3, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a81d924c16481908c4c473fa9b1557f completed Aug. 16, 2026, 3:37 p.m.
NEDg Description generation batch_6a81d97fc0a08190ba5949f9b19542e6 completed Aug. 16, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_6a81da3584e081908a3420945430be74 completed Aug. 16, 2026, 3:41 p.m.
Created at: April 29, 2026, 9:03 p.m.