Triple

T9868321
Position Surface form Disambiguated ID Type / Status
Subject Braunfels E239890 entity
Predicate hasSubdivision P747 FINISHED
Object Philippstein
Philippstein is a small district or locality that forms part of the town of Braunfels in the German state of Hesse.
E840202 NE FINISHED

How this triple was built (4 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: Philippstein | Statement: [Braunfels, hasSubdivision, Philippstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippstein
Context triple: [Braunfels, hasSubdivision, Philippstein]
  • A. Philippsthal
    Philippsthal is a small municipality in the German state of Hesse, historically associated with the cadet branch of the House of Hesse known as Hesse-Philippsthal-Barchfeld.
  • B. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
  • C. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • D. Hohenstein
    Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern Germany.
  • E. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Philippstein
Triple: [Braunfels, hasSubdivision, Philippstein]
Generated description
Philippstein is a small district or locality that forms part of the town of Braunfels in the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philippstein
Target entity description: Philippstein is a small district or locality that forms part of the town of Braunfels in the German state of Hesse.
  • A. Philippsthal
    Philippsthal is a small municipality in the German state of Hesse, historically associated with the cadet branch of the House of Hesse known as Hesse-Philippsthal-Barchfeld.
  • B. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
  • C. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • D. Hohenstein
    Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern Germany.
  • E. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • F. None of above. chosen

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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d34e4c81908c0fc14dd6d015cc completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5c126c081909a072034fde64a04 completed April 5, 2026, 7:19 p.m.
NEDg Description generation batch_69d2b741cad481909f04e2f8da68753c completed April 5, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69d2b805afa08190a43745d764a75050 completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 8:36 p.m.