Triple

T37201227
Position Surface form Disambiguated ID Type / Status
Subject Hermann Monument E922041 entity
Predicate locatedOn P40 FINISHED
Object Grotenburg hill
Grotenburg hill is a prominent elevation in the Teutoburg Forest region of Germany, best known as the site of the monumental Hermann Monument commemorating the Cherusci leader Arminius.
E2230284 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: Grotenburg hill | Statement: [Hermann Monument, locatedOn, Grotenburg hill]
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: Grotenburg hill
Triple: [Hermann Monument, locatedOn, Grotenburg hill]
Generated description
Grotenburg hill is a prominent elevation in the Teutoburg Forest region of Germany, best known as the site of the monumental Hermann Monument commemorating the Cherusci leader Arminius.

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_69f76ea4849481909b4a3073efb0114c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb36453030819092164ede66da2d36 completed May 6, 2026, 12:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40951a53f88190b6a7a1b0464135a7 completed June 28, 2026, 3:29 a.m.
NEDg Description generation batch_6a4095d447388190b220f838d899ce61 completed June 28, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a40965a4a9881909930cd6dc75e1892 completed June 28, 2026, 3:34 a.m.
Created at: May 3, 2026, 4:15 p.m.