Triple

T9822435
Position Surface form Disambiguated ID Type / Status
Subject Port of Yuzhne E238567 entity
Predicate locatedIn P40 FINISHED
Object Yuzhne
Yuzhne is a port city on the Black Sea coast of southern Ukraine, known for its major industrial and maritime facilities.
 E822742 NE FINISHED

How this triple was built (4 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: Yuzhne | Statement: [Port of Yuzhne, locatedIn, Yuzhne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuzhne
Context triple: [Port of Yuzhne, locatedIn, Yuzhne]
  • A. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • B. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • C. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • D. Krasnoturyinsk
    Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • E. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuzhne
Triple: [Port of Yuzhne, locatedIn, Yuzhne]
Generated description
Yuzhne is a port city on the Black Sea coast of southern Ukraine, known for its major industrial and maritime facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuzhne
Target entity description: Yuzhne is a port city on the Black Sea coast of southern Ukraine, known for its major industrial and maritime facilities.
  • A. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • B. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • C. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • D. Krasnoturyinsk
    Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • E. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • F. None of above. chosen

Provenance (5 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb315ddf48190bd90f7835f409bb6 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc7ce1908190a5131ef238541f0d completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd0376708190bc68b5f74f476339 completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd70aa5481908b67afef279c38af completed April 5, 2026, 2:48 a.m.
Created at: March 30, 2026, 8:31 p.m.