Triple

T8271070
Position Surface form Disambiguated ID Type / Status
Subject Altenmarkt im Pongau E193428 entity
Predicate locatedIn P40 FINISHED
Object Pongau E470002 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: Pongau | Statement: [Altenmarkt im Pongau, locatedIn, Pongau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pongau
Context triple: [Altenmarkt im Pongau, locatedIn, Pongau]
  • A. Pongau chosen
    Pongau is a mountainous district in the Austrian state of Salzburg, known for its Alpine landscapes, ski resorts, and traditional towns.
  • B. Pegau
    Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
  • 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. Yakawlang
    Yakawlang is a town in Afghanistan’s central highlands that serves as an important local center within the predominantly Hazara-inhabited Hazarajat region.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7986f8cc8190a529dda980dd6e98 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68470f8481909df50c5b6c3cf50c completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.