Triple

T23041230
Position Surface form Disambiguated ID Type / Status
Subject Polegate railway station E573741 entity
Predicate hasStationCode P1289 FINISHED
Object PLG
PLG is the National Rail station code for Polegate railway station in East Sussex, England.
 E1568750 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: PLG | Statement: [Polegate railway station, hasStationCode, PLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PLG
Context triple: [Polegate railway station, hasStationCode, PLG]
  • A. PLG
    PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
  • B. PLG
    PLG is a residential neighborhood in central Brooklyn, New York City, known for its historic architecture, cultural diversity, and proximity to Prospect Park.
  • C. PLG
    PLG is a professional basketball league based in Taiwan, featuring teams such as the New Taipei Kings.
  • D. PLQ
    PLQ is the French acronym commonly used to refer to the Quebec Liberal Party, a major provincial political party in Quebec, Canada.
  • E. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • 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: PLG
Triple: [Polegate railway station, hasStationCode, PLG]
Generated description
PLG is the National Rail station code for Polegate railway station in East Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PLG
Target entity description: PLG is the National Rail station code for Polegate railway station in East Sussex, England.
  • A. PLG
    PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
  • B. PLG
    PLG is a residential neighborhood in central Brooklyn, New York City, known for its historic architecture, cultural diversity, and proximity to Prospect Park.
  • C. PLG
    PLG is a professional basketball league based in Taiwan, featuring teams such as the New Taipei Kings.
  • D. PLQ
    PLQ is the French acronym commonly used to refer to the Quebec Liberal Party, a major provincial political party in Quebec, Canada.
  • E. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18513fc54819096d761a0be75b774 completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ad4129c81908c33a31c952c7d0f completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0e9857ac8190a06f616ffe2dff34 completed May 19, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0ee7c4708190934b494e35f57ed5 completed May 19, 2026, 7:19 a.m.
Created at: April 17, 2026, 3:53 p.m.