Triple

T37941955
Position Surface form Disambiguated ID Type / Status
Subject Тимирязевская E946510 entity
Predicate направление линии к северу P103584 FINISHED
Object станция Алтуфьево
Станция «Алтуфьево» — конечная северная станция Серпуховско-Тимирязевской линии Московского метрополитена, расположенная в одноимённом районе на севере Москвы.
 E2249885 NE FINISHED

How this triple was built (3 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: станция Алтуфьево | Statement: [Тимирязевская, направление линии к северу, станция Алтуфьево]
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: станция Алтуфьево
Triple: [Тимирязевская, направление линии к северу, станция Алтуфьево]
Generated description
Станция «Алтуфьево» — конечная северная станция Серпуховско-Тимирязевской линии Московского метрополитена, расположенная в одноимённом районе на севере Москвы.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: направление линии к северу
Context triple: [Тимирязевская, направление линии к северу, станция Алтуфьево]
  • A. northernDirection chosen
    Indicates a spatial relationship where one entity is located to the north of another entity.
  • B. directionInNorthernHemisphere
    Indicates that the specified direction is defined or measured relative to the orientation of the Northern Hemisphere (e.g., based on its geographic or celestial reference frame).
  • C. линия
    Indicates a relationship where something is a line or forms a linear connection or boundary between points or areas.
  • D. lineDirectionSouth
    Indicates that a line or path is oriented or directed toward the south.
  • E. lineDirectionTo
    Indicates the directional relationship from one line to another, such as whether they point in the same, opposite, or a specific relative direction.
  • F. None of above.

Provenance (6 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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc7b78f9481909f4f8fc2e3fdcde1 completed May 6, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4117f811508190838b713f657f1312 completed June 28, 2026, 12:47 p.m.
NEDg Description generation batch_6a4118c579d08190b3820b73a5d6ba1a completed June 28, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_6a4119f543f88190bf09c8f9de2d1ca9 completed June 28, 2026, 12:56 p.m.
PD Predicate disambiguation batch_69fbbd18c9908190928d274f8731dfa8 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:20 p.m.