Triple

T12714018
Position Surface form Disambiguated ID Type / Status
Subject Cross-Harbour Tunnel E303790 entity
Predicate hasAbbreviation P43 FINISHED
Object CHT
CHT is the commonly used abbreviation for Hong Kong’s Cross-Harbour Tunnel, a major underwater road tunnel linking Hong Kong Island and Kowloon.
E997370 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: CHT | Statement: [Cross-Harbour Tunnel, hasAbbreviation, CHT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHT
Context triple: [Cross-Harbour Tunnel, hasAbbreviation, CHT]
  • A. CHT
    CHT is the National Rail station code for Chertsey railway station in Surrey, England.
  • B. CHT
    CHT is the IATA airport code for Tuuta Airport, which serves the Chatham Islands of New Zealand.
  • C. CH-TI
    CH-TI is the ISO 3166-2 code representing the Swiss canton of Ticino.
  • D. CH-TG
    CH-TG is the ISO 3166-2 regional code for the Swiss canton of Thurgau.
  • E. CHTR
    CHTR is the stock ticker symbol for Charter Communications, a major U.S. telecommunications and cable services provider.
  • 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: CHT
Triple: [Cross-Harbour Tunnel, hasAbbreviation, CHT]
Generated description
CHT is the commonly used abbreviation for Hong Kong’s Cross-Harbour Tunnel, a major underwater road tunnel linking Hong Kong Island and Kowloon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CHT
Target entity description: CHT is the commonly used abbreviation for Hong Kong’s Cross-Harbour Tunnel, a major underwater road tunnel linking Hong Kong Island and Kowloon.
  • A. CHT
    CHT is the National Rail station code for Chertsey railway station in Surrey, England.
  • B. CHT
    CHT is the IATA airport code for Tuuta Airport, which serves the Chatham Islands of New Zealand.
  • C. CH-TI
    CH-TI is the ISO 3166-2 code representing the Swiss canton of Ticino.
  • D. CH-TG
    CH-TG is the ISO 3166-2 regional code for the Swiss canton of Thurgau.
  • E. CHTR
    CHTR is the stock ticker symbol for Charter Communications, a major U.S. telecommunications and cable services provider.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620a7554819083784897ff690652 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bad5108190915d14c3ec3d2e27 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67286f1b8819081db3da2f5c16daf completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67323a724819092425cdb3a070b96 completed May 2, 2026, 9:56 p.m.
Created at: April 9, 2026, 5:23 p.m.