Triple

T23336194
Position Surface form Disambiguated ID Type / Status
Subject Зея E591591 entity
Predicate крупный приток P415 FINISHED
Object Селемджа NE NERFINISHED

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: Селемджа | Statement: [Зея, крупный приток, Селемджа]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Селемджа
Context triple: [Зея, крупный приток, Селемджа]
  • A. Karlugh
    Karlugh is an alternative transliteration of "Karluk," referring to a historical Turkic people and the language associated with them.
  • B. Semyen
    Semyen is a masculine given name, commonly used in Slavic countries as a variant of the name Semyon.
  • C. Solkhat
    Solkhat is the historical name of Stary Krym, an ancient town in Crimea that once served as an important medieval trade and administrative center.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Khansar
    Khansar is a historic city in central Iran known for its traditional architecture, cool climate, and production of honey and dairy products.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Селемджа
Target entity description: Селемджа — река на Дальнем Востоке России, протекающая по Амурской области и известная своими таёжными ландшафтами и малой освоенностью.
  • A. Karlugh
    Karlugh is an alternative transliteration of "Karluk," referring to a historical Turkic people and the language associated with them.
  • B. Semyen
    Semyen is a masculine given name, commonly used in Slavic countries as a variant of the name Semyon.
  • C. Solkhat
    Solkhat is the historical name of Stary Krym, an ancient town in Crimea that once served as an important medieval trade and administrative center.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Khansar
    Khansar is a historic city in central Iran known for its traditional architecture, cool climate, and production of honey and dairy products.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: крупный приток
Context triple: [Зея, крупный приток, Селемджа]
  • A. isMajorWatercourseOf
    Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
  • B. largestInflowRiver
    Indicates that one river has the greatest volume of water flowing into a specified body (such as a lake, sea, or another river) compared to all other contributing rivers.
  • C. tributary chosen
    Indicates that one watercourse flows into and feeds another, contributing its water to a larger stream, river, or lake.
  • D. upstreamRiver
    Indicates that one river is located or flows in an upstream direction relative to another river within the same watercourse system.
  • E. isWatercourseOf
    Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
  • F. None of above.

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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197f1e0588190bf073b92be0bf9e4 completed April 29, 2026, 5:32 a.m.
PD Predicate disambiguation batch_69effcf8ca2c8190887d4f4656617d21 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:16 p.m.