Triple

T6541808
Position Surface form Disambiguated ID Type / Status
Subject Putney railway station E168305 entity
Predicate hasStationCode P1289 FINISHED
Object PUT
PUT is the National Rail station code for Putney railway station in southwest London, England.
E605344 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: PUT | Statement: [Putney railway station, hasStationCode, PUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PUT
Context triple: [Putney railway station, hasStationCode, PUT]
  • A. PUT
    PUT is the commonly used abbreviation for Poznań University of Technology, a leading technical university located in Poznań, Poland.
  • B. Put
    Put is a biblical nation or people, often identified with regions of North Africa, that appears among the allies of Gog in prophetic scriptures.
  • C. post exchange
    A post exchange is a retail store on a U.S. Army installation that provides tax-free goods and services to military personnel, their families, and authorized civilians.
  • D. Patch
    Patch is a surname most notably associated with Alexander Patch, a senior U.S. Army general who played a key role in World War II operations in Europe.
  • E. UPPT
    UPPT is an acronym commonly used to refer to the Uniformed Personnel Performance Team, a group focused on assessing and enhancing the effectiveness of uniformed staff.
  • 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: PUT
Triple: [Putney railway station, hasStationCode, PUT]
Generated description
PUT is the National Rail station code for Putney railway station in southwest London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PUT
Target entity description: PUT is the National Rail station code for Putney railway station in southwest London, England.
  • A. PUT
    PUT is the commonly used abbreviation for Poznań University of Technology, a leading technical university located in Poznań, Poland.
  • B. Put
    Put is a biblical nation or people, often identified with regions of North Africa, that appears among the allies of Gog in prophetic scriptures.
  • C. post exchange
    A post exchange is a retail store on a U.S. Army installation that provides tax-free goods and services to military personnel, their families, and authorized civilians.
  • D. Patch
    Patch is a surname most notably associated with Alexander Patch, a senior U.S. Army general who played a key role in World War II operations in Europe.
  • E. UPPT
    UPPT is an acronym commonly used to refer to the Uniformed Personnel Performance Team, a group focused on assessing and enhancing the effectiveness of uniformed staff.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add9036081908917ff27ceed1038 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d541f25081909a4b218fd38718c6 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d82753288190bb8cd18254feee2d completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d92bc2508190b0e1eaf8b46c958e completed March 27, 2026, 7:23 p.m.
Created at: March 27, 2026, 1:50 p.m.