Triple

T12401273
Position Surface form Disambiguated ID Type / Status
Subject Rokycany District E296257 entity
Predicate containsTown P847 FINISHED
Object Zbiroh E982988 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: Zbiroh | Statement: [Rokycany District, containsTown, Zbiroh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zbiroh
Context triple: [Rokycany District, containsTown, Zbiroh]
  • A. Zbiroh chosen
    Zbiroh is a small Czech town in the Plzeň Region, known for its historic chateau and surrounding countryside.
  • B. Bosconia
    Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
  • C. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • D. Cocijo
    Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
  • E. Resia
    Resia is a small village in South Tyrol, northern Italy, known for its proximity to the submerged bell tower of Lake Resia in the Reschen Pass.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efc0c7081909fe7d1818a081684 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.