Triple

T19101116
Position Surface form Disambiguated ID Type / Status
Subject World Trade Report E467531 entity
Predicate abbreviation P43 FINISHED
Object WTR
WTR is the commonly used abbreviation for the World Trade Report, an annual publication analyzing trends and issues in global trade.
 E1358381 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: WTR | Statement: [World Trade Report, abbreviation, WTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTR
Context triple: [World Trade Report, abbreviation, WTR]
  • A. WTER
    WTER is the radio call sign assigned to the NOAA research vessel Nancy Foster, used for its maritime identification and communications.
  • B. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • C. WAT
    WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
  • D. WAT
    WAT is the standard abbreviation used for the Waterloo Black Hawks, a junior ice hockey team based in Waterloo, Iowa.
  • E. WT
    WT is the international governing body responsible for overseeing and promoting the sport of taekwondo 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: WTR
Triple: [World Trade Report, abbreviation, WTR]
Generated description
WTR is the commonly used abbreviation for the World Trade Report, an annual publication analyzing trends and issues in global trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTR
Target entity description: WTR is the commonly used abbreviation for the World Trade Report, an annual publication analyzing trends and issues in global trade.
  • A. WTER
    WTER is the radio call sign assigned to the NOAA research vessel Nancy Foster, used for its maritime identification and communications.
  • B. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • C. WAT
    WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
  • D. WAT
    WAT is the standard abbreviation used for the Waterloo Black Hawks, a junior ice hockey team based in Waterloo, Iowa.
  • E. WT
    WT is the international governing body responsible for overseeing and promoting the sport of taekwondo 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36de7bc8190b353ed59e12e4631 completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd9b4e0c8190b235b0d7a068a1e7 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfcf14788190a75298641ba20e0e completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e10ae8188190a9dce95fa838ff7f completed May 14, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:04 p.m.