Triple

T12877860
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Penig E709507 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: Penig | Statement: [Leipzig metropolitan region, containsCity, Penig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penig
Context triple: [Leipzig metropolitan region, containsCity, Penig]
  • A. Penig chosen
    Penig is a small town in the German state of Saxony, known for its historic architecture and location along the Zwickauer Mulde river.
  • B. Raha
    Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
  • C. Raha
    Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
  • D. The Money
    "The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • E. Blixa Bargeld
    Blixa Bargeld is a German musician, composer, and performance artist best known as the frontman of the industrial band Einstürzende Neubauten and as a longtime guitarist for Nick Cave and the Bad Seeds.
  • 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_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.