Triple

T6863063
Position Surface form Disambiguated ID Type / Status
Subject Jolimont railway station E158328 entity
Predicate hasStationCode P1289 FINISHED
Object JLI
JLI is the station code for Jolimont railway station, a suburban train station serving the Jolimont area of Melbourne, Australia.
 E623182 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: JLI | Statement: [Jolimont railway station, hasStationCode, JLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JLI
Context triple: [Jolimont railway station, hasStationCode, JLI]
  • A. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • B. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • C. LICJ
    LICJ is the ICAO airport code for Palermo Airport, the main international gateway serving the city of Palermo in Sicily, Italy.
  • D. JLC
    JLC is the commonly used abbreviation for the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • E. JLT
    JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
  • 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: JLI
Triple: [Jolimont railway station, hasStationCode, JLI]
Generated description
JLI is the station code for Jolimont railway station, a suburban train station serving the Jolimont area of Melbourne, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JLI
Target entity description: JLI is the station code for Jolimont railway station, a suburban train station serving the Jolimont area of Melbourne, Australia.
  • A. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • B. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • C. LICJ
    LICJ is the ICAO airport code for Palermo Airport, the main international gateway serving the city of Palermo in Sicily, Italy.
  • D. JLC
    JLC is the commonly used abbreviation for the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • E. JLT
    JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8897cf48190a2f688d21f1f6c1a completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72ff153d48190a4b0d4e403457fe8 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c730e882308190a3fbc61245941338 completed March 28, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c7316a9cc081908c088725cb7626e8 completed March 28, 2026, 1:39 a.m.
Created at: March 27, 2026, 2:21 p.m.