Triple

T4668852
Position Surface form Disambiguated ID Type / Status
Subject Sucevița Monastery E102911 entity
Predicate nearbyCity P350 FINISHED
Object Rădăuți E407938 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: Rădăuți | Statement: [Sucevița Monastery, nearbyCity, Rădăuți]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rădăuți
Context triple: [Sucevița Monastery, nearbyCity, Rădăuți]
  • A. Rădăuți chosen
    Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
  • B. Rășinari
    Rășinari is a traditional Transylvanian village in Sibiu County, Romania, known for its pastoral setting and as the birthplace of philosopher Emil Cioran.
  • C. Giurgiulești
    Giurgiulești is a Moldovan village and river port located at the country’s southern tip, serving as its only direct access point to the Danube and maritime trade routes.
  • D. Cernavodă
    Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
  • E. Băilești
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6340ce548190bd436c59f28227d7 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be038c89f88190aad42cb6974bec2c completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.