Triple

T11005877
Position Surface form Disambiguated ID Type / Status
Subject Eparchy of Cluj-Gherla E260116 entity
Predicate seeCity P3207 FINISHED
Object Gherla E815333 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: Gherla | Statement: [Eparchy of Cluj-Gherla, seeCity, Gherla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gherla
Context triple: [Eparchy of Cluj-Gherla, seeCity, Gherla]
  • A. Gherla chosen
    Gherla is a town in northern Romania, historically known as Armenopolis, noted for its Armenian heritage and location in the Transylvanian region.
  • B. Giurgola
    Giurgola is the surname of Romaldo Giurgola, an Italian-Australian architect known for his influential modernist designs, including the Australian Parliament House in Canberra.
  • C. Marsica
    Marsica is a historical region in central Italy, located in the Apennine Mountains of Abruzzo and known for its ancient Italic heritage and the former Lake Fucino basin.
  • D. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • E. Mangalia
    Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797562de4819097a0e136180d283a completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a97587708190bf31976a3fbc1015 completed April 18, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:25 p.m.