Triple

T11534747
Position Surface form Disambiguated ID Type / Status
Subject Młociny metro station E273516 entity
Predicate code P1537 FINISHED
Object A-23
A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
E931303 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: A-23 | Statement: [Młociny metro station, code, A-23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A-23
Context triple: [Młociny metro station, code, A-23]
  • A. A-20
    A-20 is the station code assigned to Marymont, a station on the Warsaw Metro system.
  • B. AS-203
    AS-203 was an uncrewed Saturn IB test flight in NASA’s Apollo program, primarily used to study the behavior of liquid hydrogen fuel in orbit.
  • C. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • D. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • E. A-18
    A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa 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: A-23
Triple: [Młociny metro station, code, A-23]
Generated description
A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A-23
Target entity description: A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
  • A. A-20
    A-20 is the station code assigned to Marymont, a station on the Warsaw Metro system.
  • B. AS-203
    AS-203 was an uncrewed Saturn IB test flight in NASA’s Apollo program, primarily used to study the behavior of liquid hydrogen fuel in orbit.
  • C. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • D. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • E. A-18
    A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6858af0d081909078d5862ec3d469 completed April 20, 2026, 7:59 p.m.
NEDg Description generation batch_69e68fd8210c8190a7b0bbd8a50ff6b1 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e69f12cfcc8190a06e0922c9faa49e completed April 20, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:37 p.m.