Triple

T8687916
Position Surface form Disambiguated ID Type / Status
Subject Ammer E206209 entity
Predicate flowsThrough P225 FINISHED
Object Oberammergau E491655 NE FINISHED

How this triple was built (2 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: Oberammergau | Statement: [Ammer, flowsThrough, Oberammergau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberammergau
Context triple: [Ammer, flowsThrough, Oberammergau]
  • A. Oberammergau, Germany chosen
    Oberammergau, Germany is a Bavarian alpine village renowned for its once-a-decade Passion Play and traditional woodcarving craftsmanship.
  • B. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • C. Schwangau
    Schwangau is a Bavarian village in southern Germany best known as the home of the fairy-tale Neuschwanstein Castle and other nearby royal palaces amid the Alpine foothills.
  • D. Oberwiesenthal
    Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
  • E. Burghausen
    Burghausen is a historic Bavarian town in southeastern Germany, renowned for its remarkably well-preserved medieval old town and one of the longest castle complexes in the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 30, 2026, 6:33 p.m.