Triple

T38084058
Position Surface form Disambiguated ID Type / Status
Subject Luther Country E950927 entity
Predicate containsSiteAssociatedWith P5003 FINISHED
Object Lutherstadt Wittenberg
Lutherstadt Wittenberg is a historic German town on the Elbe River best known as the cradle of the Protestant Reformation and the place where Martin Luther lived and worked.
 E2255088 NE FINISHED

How this triple was built (3 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: Lutherstadt Wittenberg | Statement: [Luther Country, containsSiteAssociatedWith, Lutherstadt Wittenberg]
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: Lutherstadt Wittenberg
Triple: [Luther Country, containsSiteAssociatedWith, Lutherstadt Wittenberg]
Generated description
Lutherstadt Wittenberg is a historic German town on the Elbe River best known as the cradle of the Protestant Reformation and the place where Martin Luther lived and worked.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: containsSiteAssociatedWith
Context triple: [Luther Country, containsSiteAssociatedWith, Lutherstadt Wittenberg]
  • A. containsSite chosen
    Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
  • B. associatedSiteType
    Indicates the type or category of site with which an entity is associated.
  • C. isOnSiteWith
    Indicates that two or more entities are physically present at the same site or location at the same time.
  • D. isTypeSiteOf
    Indicates that a site serves as the specific location or setting where a particular type, category, or classification is realized or occurs.
  • E. hasSiteContext
    Indicates that something is associated with, occurs within, or is interpreted relative to a particular site or contextual environment.
  • F. None of above.

Provenance (6 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_69f76f03a3608190a73fd6df87c792a8 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a01e3a2d0e08190a7d5622920dc56e6 completed May 11, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415d4c5308819098b2fdcf6290cc3c completed June 28, 2026, 5:43 p.m.
NEDg Description generation batch_6a415e44e4dc8190a3badd6a2af4ed46 completed June 28, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a415f782d9881909ed47dd8690ce40f completed June 28, 2026, 5:52 p.m.
PD Predicate disambiguation batch_6a01e3013e7881909f0cdca25a53c009 completed May 11, 2026, 2:09 p.m.
Created at: May 3, 2026, 4:21 p.m.