Triple

T33449301
Position Surface form Disambiguated ID Type / Status
Subject Verwaltungsgemeinschaft Vorharz E856592 entity
Predicate followedBy P78 FINISHED
Object Verbandsgemeinde Vorharz
Verbandsgemeinde Vorharz is a collective municipality in the Harz region of Saxony-Anhalt, Germany, responsible for administering several member towns and villages.
E856592 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: Verbandsgemeinde Vorharz | Statement: [Verwaltungsgemeinschaft Vorharz, followedBy, Verbandsgemeinde Vorharz]
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: Verbandsgemeinde Vorharz
Triple: [Verwaltungsgemeinschaft Vorharz, followedBy, Verbandsgemeinde Vorharz]
Generated description
Verbandsgemeinde Vorharz is a collective municipality in the Harz region of Saxony-Anhalt, Germany, responsible for administering several member towns and villages.

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_69f34971b75881908be360bb041f003c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e4a98550819097fd043a47d5bf99 completed May 3, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35816270688190b496bbb722cb927c completed June 19, 2026, 5:50 p.m.
NEDg Description generation batch_6a35821e6a9481908c218a1025848aea completed June 19, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a3582f502c481909d1fa2796c7f97bc completed June 19, 2026, 5:57 p.m.
Created at: May 1, 2026, 1:37 a.m.