Triple

T7481486
Position Surface form Disambiguated ID Type / Status
Subject Armin, Prince of Lippe E176767 entity
Predicate placeOfBirth P1 FINISHED
Object Detmold E269423 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: Detmold | Statement: [Armin, Prince of Lippe, placeOfBirth, Detmold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detmold
Context triple: [Armin, Prince of Lippe, placeOfBirth, Detmold]
  • A. Detmold chosen
    Detmold is a historic town in northwestern Germany that served as the capital and residence city of the former Principality of Lippe.
  • B. Lippstadt
    Lippstadt is a historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and role in regional conflicts.
  • C. Meppen
    Meppen is a historic town in Lower Saxony, Germany, known as a regional center in the Emsland district near the Dutch border.
  • D. Gardelegen
    Gardelegen is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and its location in the Altmark region.
  • E. Bielefeld
    Bielefeld is a major city in northwestern Germany known for its industrial heritage, university, and the tongue-in-cheek “Bielefeld conspiracy” meme claiming it does not exist.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f534aa388190b3bb3e16be3a54c8 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc01e1b88190817a73e580cf4f03 completed April 2, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:42 p.m.