Triple

T1534089
Position Surface form Disambiguated ID Type / Status
Subject TAROM E32510 entity
Predicate servesCity P82 FINISHED
Object Iași E177716 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: Iași | Statement: [TAROM, servesCity, Iași]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iași
Context triple: [TAROM, servesCity, Iași]
  • A. Iași chosen
    Iași is a major cultural, academic, and economic center in northeastern Romania, known for its historic universities, churches, and role as a former capital of the Principality of Moldavia.
  • B. 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.
  • C. 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.
  • D. Miercurea Ciuc
    Miercurea Ciuc is a town in eastern Transylvania, Romania, known as a cultural center of the Székely Hungarian community and for its cold climate.
  • E. Bucharest
    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.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58b7e1088190af92bc0cc8fddfbe completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:26 p.m.