Triple

T14927712
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Hill railway station E372174 entity
Predicate stationCode P1289 FINISHED
Object LWH
LWH is the National Rail station code for Lawrence Hill railway station in Bristol, England.
 E1127297 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: LWH | Statement: [Lawrence Hill railway station, stationCode, LWH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LWH
Context triple: [Lawrence Hill railway station, stationCode, LWH]
  • A. LW
    LW is the station code used to identify Lawrence West station on Toronto's subway system.
  • B. HWH
    HWH is the station code for Howrah Junction, one of India’s busiest and oldest major railway terminals serving the Kolkata metropolitan area.
  • C. WHR
    WHR is the commonly used abbreviation for the World Health Report, the World Health Organization’s flagship publication on global health statistics, trends, and policy.
  • D. BWh
    BWh is the Köppen climate classification code for hot desert climates characterized by extremely low rainfall and high temperatures.
  • E. LWB
    LWB is the official abbreviation for Hong Kong’s Labour and Welfare Bureau, the government body responsible for labour policy and social welfare matters.
  • 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: LWH
Triple: [Lawrence Hill railway station, stationCode, LWH]
Generated description
LWH is the National Rail station code for Lawrence Hill railway station in Bristol, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LWH
Target entity description: LWH is the National Rail station code for Lawrence Hill railway station in Bristol, England.
  • A. LW
    LW is the station code used to identify Lawrence West station on Toronto's subway system.
  • B. HWH
    HWH is the station code for Howrah Junction, one of India’s busiest and oldest major railway terminals serving the Kolkata metropolitan area.
  • C. WHR
    WHR is the commonly used abbreviation for the World Health Report, the World Health Organization’s flagship publication on global health statistics, trends, and policy.
  • D. BWh
    BWh is the Köppen climate classification code for hot desert climates characterized by extremely low rainfall and high temperatures.
  • E. LWB
    LWB is the official abbreviation for Hong Kong’s Labour and Welfare Bureau, the government body responsible for labour policy and social welfare matters.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c4f9c481909642efccb29f71d4 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe744b9c048190ae2a64da53d8ffac completed May 8, 2026, 11:39 p.m.
NED2 Entity disambiguation (via description) batch_69fe74d510808190a2379a2380fc327e completed May 8, 2026, 11:42 p.m.
Created at: April 10, 2026, 2:35 a.m.