Triple

T5927183
Position Surface form Disambiguated ID Type / Status
Subject Georgensgmünd E131841 entity
Predicate district P2709 FINISHED
Object Roth E97815 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: Roth | Statement: [Georgensgmünd, district, Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roth
Context triple: [Georgensgmünd, district, Roth]
  • A. Roth
    Roth is one of the central soldiers in Norman Mailer’s World War II novel "The Naked and the Dead," representing the psychological and moral struggles of men in combat.
  • B. Roth
    Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
  • C. Roth chosen
    Roth is a town in the Bavarian region of Middle Franconia in southern Germany.
  • D. Roth
    Roth is a common German- and Jewish-origin surname borne by numerous notable individuals across literature, politics, science, and the arts.
  • E. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0385592b48190a885efb9549d88c7 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05460c481908f3efde19e3ffa2a completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.