Triple

T23359293
Position Surface form Disambiguated ID Type / Status
Subject Hackney Downs railway station E593138 entity
Predicate railcode P27071 FINISHED
Object HKC
HKC is the National Rail station code for Hackney Downs railway station in London, England.
 E1582630 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: HKC | Statement: [Hackney Downs railway station, railcode, HKC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HKC
Context triple: [Hackney Downs railway station, railcode, HKC]
  • A. HKE
    HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • B. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • C. HKF
    HKF is the women's organization affiliated with Norway's Conservative Party (Høyre), working to promote women's rights and representation in politics.
  • D. HKRI Taikoo Hui
    HKRI Taikoo Hui is a large mixed-use commercial complex in Shanghai featuring high-end shopping, offices, and hospitality facilities.
  • E. HK
    HK is a renowned German defense manufacturer best known for designing and producing small arms such as pistols, rifles, and submachine guns used by military and law enforcement worldwide.
  • 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: HKC
Triple: [Hackney Downs railway station, railcode, HKC]
Generated description
HKC is the National Rail station code for Hackney Downs railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HKC
Target entity description: HKC is the National Rail station code for Hackney Downs railway station in London, England.
  • A. HKE
    HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • B. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • C. HKF
    HKF is the women's organization affiliated with Norway's Conservative Party (Høyre), working to promote women's rights and representation in politics.
  • D. HKRI Taikoo Hui
    HKRI Taikoo Hui is a large mixed-use commercial complex in Shanghai featuring high-end shopping, offices, and hospitality facilities.
  • E. HK
    HK is a renowned German defense manufacturer best known for designing and producing small arms such as pistols, rifles, and submachine guns used by military and law enforcement worldwide.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a1a39988190b4b4993b80d5a5f6 completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dd385948190940cf5b878e54002 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5fa0ae848190a23b0c8c16345c26 completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c604cc84c8190946e2a35e0f736ce completed May 19, 2026, 1:06 p.m.
Created at: April 17, 2026, 5:29 p.m.