Triple

T14686924
Position Surface form Disambiguated ID Type / Status
Subject Leumeah railway station E344930 entity
Predicate hasStationCode P1289 FINISHED
Object LME
LME is the station code for Leumeah railway station in New South Wales, Australia.
E1113951 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: LME | Statement: [Leumeah railway station, hasStationCode, LME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LME
Context triple: [Leumeah railway station, hasStationCode, LME]
  • A. London Metal Exchange
    The London Metal Exchange is a leading global commodities exchange specializing in the trading of industrial metal futures and options.
  • B. COMEX
    COMEX is a major U.S. commodities futures and options exchange best known as the primary market for trading precious metals such as gold and silver.
  • C. Tokyo Commodity Exchange
    Tokyo Commodity Exchange is a major Japanese futures and derivatives market specializing in commodities such as energy, metals, and agricultural products.
  • D. London Stock Exchange
    The London Stock Exchange is one of the world’s oldest and largest securities exchanges, serving as a global hub for equity, bond, and derivatives trading.
  • E. Bombay bullion market
    The Bombay bullion market is a major historic trading hub in Mumbai for precious metals such as gold and silver, central to the city’s financial and commercial life.
  • 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: LME
Triple: [Leumeah railway station, hasStationCode, LME]
Generated description
LME is the station code for Leumeah railway station in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LME
Target entity description: LME is the station code for Leumeah railway station in New South Wales, Australia.
  • A. London Metal Exchange
    The London Metal Exchange is a leading global commodities exchange specializing in the trading of industrial metal futures and options.
  • B. COMEX
    COMEX is a major U.S. commodities futures and options exchange best known as the primary market for trading precious metals such as gold and silver.
  • C. Tokyo Commodity Exchange
    Tokyo Commodity Exchange is a major Japanese futures and derivatives market specializing in commodities such as energy, metals, and agricultural products.
  • D. London Stock Exchange
    The London Stock Exchange is one of the world’s oldest and largest securities exchanges, serving as a global hub for equity, bond, and derivatives trading.
  • E. Bombay bullion market
    The Bombay bullion market is a major historic trading hub in Mumbai for precious metals such as gold and silver, central to the city’s financial and commercial life.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58306548190b981956a83a84b95 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde1876fdc81908a4fe3deebb7ff83 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde6c7a8ac8190a80b6c6ed0b5b157 completed May 8, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69fde73ca1dc8190b7fc13d7ffb6daf4 completed May 8, 2026, 1:38 p.m.
Created at: April 10, 2026, 1:28 a.m.