Triple

T14198675
Position Surface form Disambiguated ID Type / Status
Subject Bingen am Rhein E351906 entity
Predicate hasTwinTown P919 FINISHED
Object Prizren E231637 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: Prizren | Statement: [Bingen am Rhein, hasTwinTown, Prizren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prizren
Context triple: [Bingen am Rhein, hasTwinTown, Prizren]
  • A. Prizren chosen
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • B. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • C. Monastir
    Monastir is a coastal city in central-eastern Tunisia, known as a historic port and the birthplace and burial place of the country’s first president, Habib Bourguiba.
  • D. Monastir
    Monastir is a small town and municipality in southern Sardinia, Italy, known for its agricultural activities and proximity to the regional capital Cagliari.
  • E. Mitrovica
    Mitrovica is a divided city in northern Kosovo known for its ethnic tensions and strategic importance as a regional industrial and mining center.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280aaa1c8190a957dfc2c624e3f6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.