Triple

T13719866
Position Surface form Disambiguated ID Type / Status
Subject Plombières E329000 entity
Predicate contains P35 FINISHED
Object Hombourg
Hombourg is a village in the municipality of Plombières in the province of Liège, eastern Belgium, known for its rural landscape and historic farms.
 E1096201 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: Hombourg | Statement: [Plombières, contains, Hombourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hombourg
Context triple: [Plombières, contains, Hombourg]
  • A. Homburg
    "Homburg" is a 1967 psychedelic rock song by the British band Procol Harum, known for its melancholic tone and surreal, poetic lyrics.
  • B. Homburg
    Homburg is a town in southwestern Germany known as an administrative and economic center within the state of Saarland.
  • C. Willanzheim
    Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
  • D. Mülhausen
    Mülhausen is the German name for the city of Mulhouse, a historically industrial and culturally significant city in the Alsace region of present-day France.
  • E. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • 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: Hombourg
Triple: [Plombières, contains, Hombourg]
Generated description
Hombourg is a village in the municipality of Plombières in the province of Liège, eastern Belgium, known for its rural landscape and historic farms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hombourg
Target entity description: Hombourg is a village in the municipality of Plombières in the province of Liège, eastern Belgium, known for its rural landscape and historic farms.
  • A. Homburg
    Homburg is a town in southwestern Germany known as an administrative and economic center within the state of Saarland.
  • B. Homburg
    "Homburg" is a 1967 psychedelic rock song by the British band Procol Harum, known for its melancholic tone and surreal, poetic lyrics.
  • C. Willanzheim
    Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
  • D. Mülhausen
    Mülhausen is the German name for the city of Mulhouse, a historically industrial and culturally significant city in the Alsace region of present-day France.
  • E. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c20e45c8190968a5d88a2b3fe37 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd5067188c81908328426b8bafb6dc completed May 8, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fd511fe3d48190af66cb10abeb7499 completed May 8, 2026, 2:57 a.m.
Created at: April 9, 2026, 9:55 p.m.