Triple

T15722076
Position Surface form Disambiguated ID Type / Status
Subject Suhl E381119 entity
Predicate hasTwinTown P919 FINISHED
Object Smolyan E314046 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: Smolyan | Statement: [Suhl, hasTwinTown, Smolyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smolyan
Context triple: [Suhl, hasTwinTown, Smolyan]
  • A. Smolyan chosen
    Smolyan is a Bulgarian town known as an administrative, cultural, and tourist center in the Rhodope Mountains.
  • B. Sapareva Banya
    Sapareva Banya is a Bulgarian spa town renowned for its hot mineral springs and the hottest geyser in continental Europe.
  • C. Sliven
    Sliven is a city in eastern Bulgaria known for its textile industry, historic role in Bulgarian national revival, and location near the eastern Balkan Mountains.
  • D. Delčevo
    Delčevo is a small town in eastern North Macedonia known as a local administrative and cultural center near the border with Bulgaria.
  • E. Butovo
    Butovo is a residential district in the southern part of Moscow, Russia, known for its large housing estates and rapid post-Soviet urban development.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7d79348190aba1889a7eb3d7c8 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 4:45 a.m.