Triple

T30855198
Position Surface form Disambiguated ID Type / Status
Subject Bishopric of Havelberg E785899 entity
Predicate hadChapter P164747 FINISHED
Object Cathedral chapter of Havelberg
The Cathedral chapter of Havelberg was the collegiate body of clergy attached to Havelberg Cathedral that played a central role in the religious administration and governance of the medieval Bishopric of Havelberg.
E1934712 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: Cathedral chapter of Havelberg | Statement: [Bishopric of Havelberg, hadChapter, Cathedral chapter of Havelberg]
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: Cathedral chapter of Havelberg
Triple: [Bishopric of Havelberg, hadChapter, Cathedral chapter of Havelberg]
Generated description
The Cathedral chapter of Havelberg was the collegiate body of clergy attached to Havelberg Cathedral that played a central role in the religious administration and governance of the medieval Bishopric of Havelberg.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadChapter
Context triple: [Bishopric of Havelberg, hadChapter, Cathedral chapter of Havelberg]
  • A. hadChapterOf
    Indicates that an entity (such as a book or document) includes or contains a specific chapter as one of its parts.
  • B. hadChapterAt chosen
    Indicates that an organization or group maintained an official chapter, branch, or local unit at a specified location or institution.
  • C. hasGeneralChapter
    Indicates that an entity is associated with, or contains, a general chapter (a broad or overarching section) within a larger structured document or framework.
  • D. chapterOn
    Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
  • E. chapterAfter
    Indicates that one chapter directly follows another in a sequential ordering.
  • 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_69f224b91c14819084e764832fe67a57 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6917f924481909449b790ae38a271 completed May 3, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbfc88148190a2113f655d70145c completed June 10, 2026, 1:21 a.m.
NEDg Description generation batch_6a28bfe8b0708190a67937771c70fd8e completed June 10, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_6a28c05f27288190ad1e9108f289cfac completed June 10, 2026, 1:39 a.m.
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:46 p.m.