Triple

T11111252
Position Surface form Disambiguated ID Type / Status
Subject Metro Warszawskie E262759 entity
Predicate hasAbbreviation P43 FINISHED
Object MW
MW is the commonly used abbreviation for Metro Warszawskie, the company operating the Warsaw Metro system in Poland.
 E905807 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: MW | Statement: [Metro Warszawskie, hasAbbreviation, MW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MW
Context triple: [Metro Warszawskie, hasAbbreviation, MW]
  • A. MW
    MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
  • B. MW
    MW is the vehicle registration code used on license plates for cars registered in the District of Mittelsachsen in Germany.
  • C. WM
    WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
  • D. WM
    WM is the vehicle registration code for the district of Weilheim-Schongau in Bavaria, Germany.
  • E. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • 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: MW
Triple: [Metro Warszawskie, hasAbbreviation, MW]
Generated description
MW is the commonly used abbreviation for Metro Warszawskie, the company operating the Warsaw Metro system in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MW
Target entity description: MW is the commonly used abbreviation for Metro Warszawskie, the company operating the Warsaw Metro system in Poland.
  • A. MW
    MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
  • B. MW
    MW is the vehicle registration code used on license plates for cars registered in the District of Mittelsachsen in Germany.
  • C. WM
    WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
  • D. WM
    WM is the vehicle registration code for the district of Weilheim-Schongau in Bavaria, Germany.
  • E. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.