Triple

T16668568
Position Surface form Disambiguated ID Type / Status
Subject Lenin Hills E405045 entity
Predicate hasNearbyMetroStation P26735 FINISHED
Object Universitet
Universitet is a Moscow Metro station serving the area around the Moscow State University campus on the Lenin Hills.
E1227762 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: Universitet | Statement: [Lenin Hills, hasNearbyMetroStation, Universitet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universitet
Context triple: [Lenin Hills, hasNearbyMetroStation, Universitet]
  • A. Universidad
    Universidad is a Mexico City Metro station that serves as a major southern terminus and gateway to the National Autonomous University of Mexico (UNAM) campus.
  • B. Universitas
    Universitas is a Latin term commonly used to denote a university or community of scholars dedicated to higher learning and research.
  • C. Universitate
    Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
  • D. Universytet
    Universytet is a central Kharkiv Metro station named for its proximity to major universities and academic institutions in the city.
  • E. Universitetet
    Universitetet is a railway station in Stockholm, Sweden, serving Stockholm University and located on the Roslagsbanan suburban rail line.
  • 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: Universitet
Triple: [Lenin Hills, hasNearbyMetroStation, Universitet]
Generated description
Universitet is a Moscow Metro station serving the area around the Moscow State University campus on the Lenin Hills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Universitet
Target entity description: Universitet is a Moscow Metro station serving the area around the Moscow State University campus on the Lenin Hills.
  • A. Universidad
    Universidad is a Mexico City Metro station that serves as a major southern terminus and gateway to the National Autonomous University of Mexico (UNAM) campus.
  • B. Universitas
    Universitas is a Latin term commonly used to denote a university or community of scholars dedicated to higher learning and research.
  • C. Universitate
    Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
  • D. Universytet
    Universytet is a central Kharkiv Metro station named for its proximity to major universities and academic institutions in the city.
  • E. Universitetet
    Universitetet is a railway station in Stockholm, Sweden, serving Stockholm University and located on the Roslagsbanan suburban rail line.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9e9a208190afab499897ce4361 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a34852c81908c00ff8e36923cee completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008abfcb4481908efb8a1cb3c0086e completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008b55b28c8190bb2d63c7fe0db2cc completed May 10, 2026, 1:42 p.m.
Created at: April 10, 2026, 5:18 a.m.