Triple

T8846077
Position Surface form Disambiguated ID Type / Status
Subject Waterloo East E210507 entity
Predicate stationCode P1289 FINISHED
Object WAE
WAE is the National Rail station code for Waterloo East railway station in London, England.
 E760898 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: WAE | Statement: [Waterloo East, stationCode, WAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAE
Context triple: [Waterloo East, stationCode, WAE]
  • A. WAAA
    WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
  • B. AWAE
    AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
  • C. WA2
    WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
  • D. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • E. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • 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: WAE
Triple: [Waterloo East, stationCode, WAE]
Generated description
WAE is the National Rail station code for Waterloo East railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAE
Target entity description: WAE is the National Rail station code for Waterloo East railway station in London, England.
  • A. WAAA
    WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
  • B. AWAE
    AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
  • C. WA2
    WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
  • D. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • E. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a7c518819095399976148e1b9a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89b5acbc8190b0f5a81af71fc7aa completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8b4c15ac8190816f679de979b6b5 completed April 3, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bfdf55081909b71ef3e92c4928f completed April 3, 2026, 9:44 a.m.
Created at: March 30, 2026, 6:48 p.m.