Triple

T14004435
Position Surface form Disambiguated ID Type / Status
Subject Portlethen railway station E336909 entity
Predicate hasStationCode P1289 FINISHED
Object PLN
PLN is the National Rail station code assigned to Portlethen railway station in Aberdeenshire, Scotland.
E1073225 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: PLN | Statement: [Portlethen railway station, hasStationCode, PLN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PLN
Context triple: [Portlethen railway station, hasStationCode, PLN]
  • A. PLN
    PLN is the Polish złoty, the official national currency of Poland.
  • B. PLN
    PLN is the three-letter IATA airport code for Pellston Regional Airport in Michigan, United States.
  • C. PLN
    PLN is a major social-democratic political party in Costa Rica, formally known as the National Liberation Party.
  • D. Perusahaan Listrik Negara
    Perusahaan Listrik Negara is Indonesia’s state-owned electricity company responsible for generating, transmitting, and distributing electric power across the country.
  • E. PT Pembangkitan Jawa-Bali
    PT Pembangkitan Jawa-Bali is an Indonesian power generation company that operates and manages major electricity assets, including large hydropower facilities.
  • 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: PLN
Triple: [Portlethen railway station, hasStationCode, PLN]
Generated description
PLN is the National Rail station code assigned to Portlethen railway station in Aberdeenshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PLN
Target entity description: PLN is the National Rail station code assigned to Portlethen railway station in Aberdeenshire, Scotland.
  • A. PLN
    PLN is the Polish złoty, the official national currency of Poland.
  • B. PLN
    PLN is the three-letter IATA airport code for Pellston Regional Airport in Michigan, United States.
  • C. PLN
    PLN is a major social-democratic political party in Costa Rica, formally known as the National Liberation Party.
  • D. Perusahaan Listrik Negara
    Perusahaan Listrik Negara is Indonesia’s state-owned electricity company responsible for generating, transmitting, and distributing electric power across the country.
  • E. PT Pembangkitan Jawa-Bali
    PT Pembangkitan Jawa-Bali is an Indonesian power generation company that operates and manages major electricity assets, including large hydropower facilities.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed1d2548190bb46d6b7cba4ffde completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca41d24819086df2329ea3c4c9c completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae186bb881908ea17ae6b12825af completed May 6, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69fbaebaab508190a609fa151c686a0d completed May 6, 2026, 9:12 p.m.
Created at: April 9, 2026, 10:19 p.m.