Triple

T2167557
Position Surface form Disambiguated ID Type / Status
Subject Serpukhovsko–Timiryazevskaya Line E46944 entity
Predicate hasStation P35 FINISHED
Object Annino
Annino is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Annino district in southern Moscow.
 E239693 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: Annino | Statement: [Serpukhovsko–Timiryazevskaya Line, hasStation, Annino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annino
Context triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Annino]
  • A. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • B. Paolone
    Paolone is an Italian given name or nickname, typically a familiar or affectionate variant of the name Paolo.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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: Annino
Triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Annino]
Generated description
Annino is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Annino district in southern Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annino
Target entity description: Annino is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Annino district in southern Moscow.
  • A. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • B. Paolone
    Paolone is an Italian given name or nickname, typically a familiar or affectionate variant of the name Paolo.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5a2055488190855ac173d1e3ad11 completed March 9, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a810b588190a1bb538be46b2010 completed March 9, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:45 p.m.