Triple

T4245184
Position Surface form Disambiguated ID Type / Status
Subject Main Railway Station Wrocław Główny E95510 entity
Predicate railwayStationCode P1289 FINISHED
Object WR
WR is the station code for Wrocław Główny, the main railway station in Wrocław, Poland.
 E424952 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: WR | Statement: [Main Railway Station Wrocław Główny, railwayStationCode, WR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WR
Context triple: [Main Railway Station Wrocław Główny, railwayStationCode, WR]
  • A. WR
    WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
  • B. WR
    WR is the standard abbreviation for World Rugby, the international governing body for the sport of rugby union.
  • C. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • D. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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: WR
Triple: [Main Railway Station Wrocław Główny, railwayStationCode, WR]
Generated description
WR is the station code for Wrocław Główny, the main railway station in Wrocław, Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WR
Target entity description: WR is the station code for Wrocław Główny, the main railway station in Wrocław, Poland.
  • A. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • B. WR
    WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
  • C. WR
    WR is the standard abbreviation for World Rugby, the international governing body for the sport of rugby union.
  • D. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8db5bc8190873c5ae3753aaa58 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a876a8dc8190b79d7a3d5eec5609 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a925b8e881908338dc0620b18734 completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5ad224c848190b1ce76d61fc1d564 completed March 14, 2026, 6:46 p.m.
Created at: March 12, 2026, 11:05 p.m.