Triple

T23134123
Position Surface form Disambiguated ID Type / Status
Subject Hounslow Central Underground station E577261 entity
Predicate stationCode P1289 FINISHED
Object HWC
HWC is the three-letter station code used by Transport for London to identify Hounslow Central Underground station on the Piccadilly line.
 E1574526 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: HWC | Statement: [Hounslow Central Underground station, stationCode, HWC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HWC
Context triple: [Hounslow Central Underground station, stationCode, HWC]
  • A. HWN
    HWN is the National Rail station code for Harlow Town railway station in Essex, England.
  • B. HWD
    HWD is the three-letter IATA airport code assigned to Hayward Executive Airport in Hayward, California.
  • C. Hdi
    Hdi is a Central Chadic language spoken primarily in northern Cameroon and nearby areas of Nigeria.
  • D. WHC
    WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
  • E. WHC
    WHC is a major immersed-tube road tunnel in Hong Kong that runs beneath Victoria Harbour, connecting West Kowloon and Hong Kong Island.
  • 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: HWC
Triple: [Hounslow Central Underground station, stationCode, HWC]
Generated description
HWC is the three-letter station code used by Transport for London to identify Hounslow Central Underground station on the Piccadilly line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HWC
Target entity description: HWC is the three-letter station code used by Transport for London to identify Hounslow Central Underground station on the Piccadilly line.
  • A. HWN
    HWN is the National Rail station code for Harlow Town railway station in Essex, England.
  • B. HWD
    HWD is the three-letter IATA airport code assigned to Hayward Executive Airport in Hayward, California.
  • C. Hdi
    Hdi is a Central Chadic language spoken primarily in northern Cameroon and nearby areas of Nigeria.
  • D. WHC
    WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
  • E. WHC
    WHC is a major immersed-tube road tunnel in Hong Kong that runs beneath Victoria Harbour, connecting West Kowloon and Hong Kong Island.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8ab9b08190969984f8c4494b0f completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308901088190a3dd91561a5c123f completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3468ecf48190ae05d776b6b472c6 completed May 19, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0c34b344248190a6f1b34dede10db1 completed May 19, 2026, 10 a.m.
Created at: April 17, 2026, 4 p.m.