Triple

T8850360
Position Surface form Disambiguated ID Type / Status
Subject Battle of Nördlingen (1645) E210621 entity
Predicate namedAfter P63 FINISHED
Object Nördlingen E660035 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: Nördlingen | Statement: [Battle of Nördlingen (1645), namedAfter, Nördlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nördlingen
Context triple: [Battle of Nördlingen (1645), namedAfter, Nördlingen]
  • A. Nördlingen chosen
    Nördlingen is a historic Bavarian town in southern Germany, notable for its well-preserved medieval walls and location within a large meteorite impact crater.
  • B. 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.
  • C. Kempten
    Kempten is a historic town in Bavaria, Germany, considered one of the country’s oldest urban settlements and known for its location in the Allgäu region.
  • D. Kaufbeuren
    Kaufbeuren is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and traditional Swabian culture.
  • E. Neuburg am Inn
    Neuburg am Inn is a Bavarian municipality in southeastern Germany situated on the River Inn near the city of Passau.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60abb0748190af41d4e1f419e39c completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3d6191c8190adb41feec1bfa76e completed April 5, 2026, 4:23 a.m.
Created at: March 30, 2026, 6:49 p.m.