Triple

T14868033
Position Surface form Disambiguated ID Type / Status
Subject Wettingen E349667 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Neuenhof
Neuenhof is a municipality in the canton of Aargau in northern Switzerland, situated in the Limmat Valley near the city of Baden.
E1131464 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: Neuenhof | Statement: [Wettingen, neighboringMunicipality, Neuenhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuenhof
Context triple: [Wettingen, neighboringMunicipality, Neuenhof]
  • A. Neuhausen
    Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
  • B. Altishofen
    Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
  • C. Aiterhofen
    Aiterhofen is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • D. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • E. Bonstetten
    Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • 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: Neuenhof
Triple: [Wettingen, neighboringMunicipality, Neuenhof]
Generated description
Neuenhof is a municipality in the canton of Aargau in northern Switzerland, situated in the Limmat Valley near the city of Baden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neuenhof
Target entity description: Neuenhof is a municipality in the canton of Aargau in northern Switzerland, situated in the Limmat Valley near the city of Baden.
  • A. Neuhausen
    Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
  • B. Altishofen
    Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
  • C. Aiterhofen
    Aiterhofen is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • D. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • E. Bonstetten
    Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9687a5888190a6e6ffd781f64edc completed May 9, 2026, 2:05 a.m.
NEDg Description generation batch_69fe990b6ab48190b153a912f16c8c8d completed May 9, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fe993c6094819086f0de1743272fd4 completed May 9, 2026, 2:17 a.m.
Created at: April 10, 2026, 1:55 a.m.