Triple

T16072726
Position Surface form Disambiguated ID Type / Status
Subject Marcus Goldman E389902 entity
Predicate birthPlace P1 FINISHED
Object Trappstadt E944029 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: Trappstadt | Statement: [Marcus Goldman, birthPlace, Trappstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trappstadt
Context triple: [Marcus Goldman, birthPlace, Trappstadt]
  • A. Trappstadt chosen
    Trappstadt is a small municipality in the district of Rhön-Grabfeld in northern Bavaria, Germany, known for its rural character and proximity to the Rhön Mountains.
  • B. Traunreut
    Traunreut is a Bavarian town in southeastern Germany known for its industrial base and proximity to the Alpine foothills and Chiemsee lake.
  • C. Leitzach
    Leitzach is a river in Bavaria, Germany, known as a tributary of the Mangfall that flows through the Alpine foothills.
  • D. Ruhpolding
    Ruhpolding is a Bavarian alpine town in southeastern Germany known for its winter sports facilities, especially biathlon, and its scenic location in the Chiemgau Alps.
  • E. Triesen
    Triesen is a municipality in the southern part of Liechtenstein, known for its historic village center and scenic Alpine surroundings.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bf6c488190b0099a00f13f2a69 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758380d08190bfe73d3e052c1f0a completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 4:57 a.m.