Triple

T8882798
Position Surface form Disambiguated ID Type / Status
Subject Ehrwald E211450 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Grainau E753799 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: Grainau | Statement: [Ehrwald, hasNeighboringMunicipality, Grainau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grainau
Context triple: [Ehrwald, hasNeighboringMunicipality, Grainau]
  • A. Grainau chosen
    Grainau is a Bavarian alpine village in southern Germany, known as a gateway to the Zugspitze and nearby mountain lakes.
  • B. Hauran
    Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
  • C. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • D. Haferland
    Haferland is a historical region in Transylvania, Romania, traditionally inhabited by Transylvanian Saxons and known for its dense concentration of medieval fortified churches.
  • E. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616a01f48190b8bbde0e898a38c7 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba1809dc81909776f1268cae9004 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:53 p.m.