Triple

T644543
Position Surface form Disambiguated ID Type / Status
Subject Romanian Communist Party E11211 entity
Predicate headquartersLocation P62 FINISHED
Object Bucharest E31636 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: Bucharest | Statement: [Romanian Communist Party, headquartersLocation, Bucharest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucharest
Context triple: [Romanian Communist Party, headquartersLocation, Bucharest]
  • A. Bucharest chosen
    Bucharest is the capital and largest city of Romania, known for its mix of historic architecture, wide boulevards, and its role as the country’s political, cultural, and economic center.
  • B. Galați
    Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
  • C. Constanța
    Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
  • D. Sofia
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • E. Tulcea
    Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f18216081908331aa12dac40214 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a59145fbbc8190b60b8bc420a3643c completed March 2, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:36 p.m.