Triple

T12877788
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Pegau E185205 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: Pegau | Statement: [Leipzig metropolitan region, containsCity, Pegau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegau
Context triple: [Leipzig metropolitan region, containsCity, Pegau]
  • A. Pegau chosen
    Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
  • B. Pongau
    Pongau is a mountainous district in the Austrian state of Salzburg, known for its Alpine landscapes, ski resorts, and traditional towns.
  • C. Pangai
    Pangai is the main administrative and population center of the Haʻapai island group in the Kingdom of Tonga.
  • D. Pangnirtung
    Pangnirtung is a small Inuit hamlet on Baffin Island in Nunavut, Canada, known for its dramatic Arctic landscapes, traditional culture, and renowned printmaking and weaving arts.
  • E. Potohari
    Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55393a88190a88c9357a6db5aec completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:38 p.m.