Triple

T13248576
Position Surface form Disambiguated ID Type / Status
Subject Clock House E315468 entity
Predicate stationCode P1289 FINISHED
Object CLK
CLK is the National Rail station code for Clock House railway station in London, England.
 E1029790 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: CLK | Statement: [Clock House, stationCode, CLK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLK
Context triple: [Clock House, stationCode, CLK]
  • A. LCLK
    LCLK is the ICAO airport code for Larnaca International Airport, the main international gateway to Cyprus located near the city of Larnaca.
  • B. DCLK
    DCLK was the NASDAQ ticker symbol for DoubleClick, a pioneering online advertising technology company later acquired by Google.
  • C. KLCK
    KLCK is the ICAO airport code for Rickenbacker International Airport, a cargo-focused and military-use airport near Columbus, Ohio.
  • D. GB-CLK
    GB-CLK is the ISO 3166-2 subdivision code assigned to Devonside in the United Kingdom.
  • E. OSC
    OSC is the commonly used abbreviation for the U.S. Office of Special Counsel, an independent federal agency that protects whistleblowers and enforces civil service laws.
  • 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: CLK
Triple: [Clock House, stationCode, CLK]
Generated description
CLK is the National Rail station code for Clock House railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLK
Target entity description: CLK is the National Rail station code for Clock House railway station in London, England.
  • A. LCLK
    LCLK is the ICAO airport code for Larnaca International Airport, the main international gateway to Cyprus located near the city of Larnaca.
  • B. DCLK
    DCLK was the NASDAQ ticker symbol for DoubleClick, a pioneering online advertising technology company later acquired by Google.
  • C. KLCK
    KLCK is the ICAO airport code for Rickenbacker International Airport, a cargo-focused and military-use airport near Columbus, Ohio.
  • D. GB-CLK
    GB-CLK is the ISO 3166-2 subdivision code assigned to Devonside in the United Kingdom.
  • E. OSC
    OSC is the commonly used abbreviation for the U.S. Office of Special Counsel, an independent federal agency that protects whistleblowers and enforces civil service laws.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d9e7ea881908abc4b3a54896692 completed April 10, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff37f7448190b9c555cae010d3b6 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70476310c8190b13dc948c1f1ce95 completed May 3, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69f70578047c819089fc3044eceb4eac completed May 3, 2026, 8:21 a.m.
Created at: April 9, 2026, 9:24 p.m.