Triple

T14618533
Position Surface form Disambiguated ID Type / Status
Subject Western Moldavia E343152 entity
Predicate containsCity P294 FINISHED
Object Tecuci E344497 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: Tecuci | Statement: [Western Moldavia, containsCity, Tecuci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tecuci
Context triple: [Western Moldavia, containsCity, Tecuci]
  • A. Tecuci chosen
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • B. Zimnicea
    Zimnicea is a town in southern Romania situated on the Danube River near the border with Bulgaria.
  • C. Tighina
    Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
  • D. Cahul
    Cahul is a city in southern Moldova known as a regional economic center and spa destination famed for its mineral waters.
  • E. Sinaia
    Sinaia is a Romanian mountain resort town in the Carpathians, famed for Peleș Castle and its historic role as a royal summer residence.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aade82788190a5f3cedbc22065c4 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 1:25 a.m.