Triple

T8687915
Position Surface form Disambiguated ID Type / Status
Subject Ammer E206209 entity
Predicate flowsThrough P225 FINISHED
Object Ettal
Ettal is a small Bavarian village in southern Germany, known for its picturesque Alpine setting and the historic Ettal Abbey.
 E752206 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: Ettal | Statement: [Ammer, flowsThrough, Ettal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ettal
Context triple: [Ammer, flowsThrough, Ettal]
  • A. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • B. Totsakan
    Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
  • C. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • D. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • E. Mehinako
    Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
  • 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: Ettal
Triple: [Ammer, flowsThrough, Ettal]
Generated description
Ettal is a small Bavarian village in southern Germany, known for its picturesque Alpine setting and the historic Ettal Abbey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ettal
Target entity description: Ettal is a small Bavarian village in southern Germany, known for its picturesque Alpine setting and the historic Ettal Abbey.
  • A. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • B. Totsakan
    Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
  • C. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • D. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • E. Mehinako
    Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5731cf08819082e0cbe0975b70bb completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3d6904c8190a8456a99dae87bf2 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef56df85c81908cb10aa7d80ce358 completed April 2, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69cef6757cd8819082ffc32256b0f86c completed April 2, 2026, 11:06 p.m.
Created at: March 30, 2026, 6:33 p.m.