Triple

T14549643
Position Surface form Disambiguated ID Type / Status
Subject Cerna Valley E341380 entity
Predicate mouthNear P18935 FINISHED
Object Orșova E1086988 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: Orșova | Statement: [Cerna Valley, mouthNear, Orșova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orșova
Context triple: [Cerna Valley, mouthNear, Orșova]
  • A. Orșova chosen
    Orșova is a town in southwestern Romania situated on the Danube River, known as a river port and gateway to the scenic Iron Gates gorge.
  • B. Gheorgheni
    Gheorgheni is a town in Harghita County, Romania, known for its Székely Hungarian community and its location in the Eastern Carpathians.
  • C. Bacău
    Bacău is a city in eastern Romania, serving as the administrative center of Bacău County and an important regional industrial and cultural hub in the historical region of Moldavia.
  • 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. 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006ec7a4748190822e66a756bc95b9 completed May 10, 2026, 11:40 a.m.
Created at: April 10, 2026, 1:23 a.m.