Triple

T14903136
Position Surface form Disambiguated ID Type / Status
Subject Breisach am Rhein E360057 entity
Predicate twinTown P1072 FINISHED
Object Ponsacco E686269 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: Ponsacco | Statement: [Breisach am Rhein, twinTown, Ponsacco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponsacco
Context triple: [Breisach am Rhein, twinTown, Ponsacco]
  • A. Ponsacco chosen
    Ponsacco is a small Tuscan town in central Italy known for its furniture industry and location within the Province of Pisa.
  • B. Titisee-Neustadt
    Titisee-Neustadt is a popular resort town in Germany’s Black Forest region, known for its scenic lake Titisee, winter sports facilities, and tourism.
  • C. Satara
    Satara is a historic city in the Indian state of Maharashtra, known for its role as a key political and cultural center of the Maratha dynasty.
  • D. Maillardville
    Maillardville is a historic, predominantly Francophone neighbourhood in Coquitlam, British Columbia, known for its early 20th-century French-Canadian mill community roots.
  • E. Mamou
    Mamou is a key urban and transport hub in central Guinea, often considered the gateway to the Middle Guinea 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.