Triple

T9204090
Position Surface form Disambiguated ID Type / Status
Subject Kacha River E220924 entity
Predicate hasMouthNear P350 FINISHED
Object village of Lyubimovka
The village of Lyubimovka is a small riverside settlement located near the mouth of the Kacha River.
E783434 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: village of Lyubimovka | Statement: [Kacha River, hasMouthNear, village of Lyubimovka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: village of Lyubimovka
Context triple: [Kacha River, hasMouthNear, village of Lyubimovka]
  • A. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • B. Kemerovo village
    Kemerovo village is a rural locality in Russia that gave its name to the industrial city of Kemerovo in southwestern Siberia.
  • C. Khertvisi village
    Khertvisi village is a small settlement in southern Georgia known primarily for its proximity to the historic Khertvisi Fortress overlooking the Mtkvari River.
  • D. village of Salaryevo
    The village of Salaryevo is a small rural locality near Moscow, Russia, historically known for giving its name to the nearby Salaryevo metro station.
  • E. city of Lyubim
    The city of Lyubim is a small historic town in central Russia, situated within the Yaroslavl region and known for its traditional provincial character.
  • 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: village of Lyubimovka
Triple: [Kacha River, hasMouthNear, village of Lyubimovka]
Generated description
The village of Lyubimovka is a small riverside settlement located near the mouth of the Kacha River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: village of Lyubimovka
Target entity description: The village of Lyubimovka is a small riverside settlement located near the mouth of the Kacha River.
  • A. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • B. Kemerovo village
    Kemerovo village is a rural locality in Russia that gave its name to the industrial city of Kemerovo in southwestern Siberia.
  • C. Khertvisi village
    Khertvisi village is a small settlement in southern Georgia known primarily for its proximity to the historic Khertvisi Fortress overlooking the Mtkvari River.
  • D. village of Salaryevo
    The village of Salaryevo is a small rural locality near Moscow, Russia, historically known for giving its name to the nearby Salaryevo metro station.
  • E. city of Lyubim
    The city of Lyubim is a small historic town in central Russia, situated within the Yaroslavl region and known for its traditional provincial character.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd945f37881909f0d30eeb6a7a3ad completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4e56208190a5b2749b81e467be completed April 4, 2026, 12:33 a.m.
NEDg Description generation batch_69d05d2e27a081909497f48f3b93b1fe completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05df1a0888190a2bdc48a159b865e completed April 4, 2026, 12:40 a.m.
Created at: March 30, 2026, 7:26 p.m.