Triple

T12585747
Position Surface form Disambiguated ID Type / Status
Subject Wigger E300454 entity
Predicate flowsThrough P225 FINISHED
Object Altishofen
Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
E1015676 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: Altishofen | Statement: [Wigger, flowsThrough, Altishofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altishofen
Context triple: [Wigger, flowsThrough, Altishofen]
  • A. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • B. Aiterhofen
    Aiterhofen is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • C. Bonstetten
    Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • D. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • E. Adelshofen
    Adelshofen is a small municipality in Upper Bavaria, Germany, situated within the rural region west of Munich.
  • 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: Altishofen
Triple: [Wigger, flowsThrough, Altishofen]
Generated description
Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Altishofen
Target entity description: Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
  • A. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • B. Aiterhofen
    Aiterhofen is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • C. Bonstetten
    Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • D. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • E. Adelshofen
    Adelshofen is a small municipality in Upper Bavaria, Germany, situated within the rural region west of Munich.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d89b988190bde04701c4d1f904 completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c20a1eb881908a28dc884c2005ef completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c34b9ec08190bb29458b6f43c388 completed May 3, 2026, 3:38 a.m.
Created at: April 9, 2026, 5:04 p.m.