Triple

T14472311
Position Surface form Disambiguated ID Type / Status
Subject Southern Romania E358874 entity
Predicate hasMajorCity P316 FINISHED
Object Giurgiu E353119 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: Giurgiu | Statement: [Southern Romania, hasMajorCity, Giurgiu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giurgiu
Context triple: [Southern Romania, hasMajorCity, Giurgiu]
  • A. Giurgiu chosen
    Giurgiu is a city in southern Romania on the Danube River, serving as an important border crossing and transport link with the Bulgarian city of Ruse.
  • B. Bălan
    Bălan is a small mining town in central Romania, located in the mountainous region of Harghita County.
  • C. 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.
  • D. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • E. Colentina
    Colentina is a residential neighborhood in northeastern Bucharest, Romania, known for its dense housing, commercial areas, and location along the Colentina River.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91fab21c819090b6e209d8efba6e completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649e103c81908001b45c16d1fd79 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.