Triple

T2051653
Position Surface form Disambiguated ID Type / Status
Subject Upper Palatinate E45581 entity
Predicate contains P35 FINISHED
Object Amberg (district-free city) E267893 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: Amberg (district-free city) | Statement: [Upper Palatinate, contains, Amberg (district-free city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amberg (district-free city)
Context triple: [Upper Palatinate, contains, Amberg (district-free city)]
  • A. Amberg chosen
    Amberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former role as a regional administrative and trading center.
  • B. Amberg-Sulzbach
    Amberg-Sulzbach is a rural district in the Bavarian region of Upper Palatinate in Germany, known for its mix of historic towns, forests, and former mining areas.
  • C. Deggendorf
    Deggendorf is a town in southeastern Germany situated on the Danube River, known as a regional commercial and transportation hub near the Bavarian Forest.
  • D. Forchheim
    Forchheim is a town in Upper Franconia, Bavaria, Germany, known for its historic old town and location along major regional rail and road routes.
  • E. Straubing
    Straubing is a Bavarian town on the Danube River known for its historic city center and role as a regional economic and educational hub.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98f5f4881908d9aa0f10be44041 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69bda3e679a881908f91a36675037d1a completed March 20, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:39 p.m.