Triple

T14880236
Position Surface form Disambiguated ID Type / Status
Subject Kingsgrove railway station E349980 entity
Predicate hasStationCode P1289 FINISHED
Object KGV
KGV is the station code for Kingsgrove railway station on Sydney’s suburban rail network in New South Wales, Australia.
 E1125651 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: KGV | Statement: [Kingsgrove railway station, hasStationCode, KGV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KGV
Context triple: [Kingsgrove railway station, hasStationCode, KGV]
  • A. KVG
    KVG is the three-letter IATA airport code assigned to Kavieng Airport in Papua New Guinea.
  • B. KGNV
    KGNV is the ICAO airport code for Gainesville Regional Airport, a public airport serving Gainesville, Florida.
  • C. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • D. GKW
    GKW is the National Rail station code for Greenock West railway station in Inverclyde, Scotland.
  • E. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • 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: KGV
Triple: [Kingsgrove railway station, hasStationCode, KGV]
Generated description
KGV is the station code for Kingsgrove railway station on Sydney’s suburban rail network in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KGV
Target entity description: KGV is the station code for Kingsgrove railway station on Sydney’s suburban rail network in New South Wales, Australia.
  • A. KVG
    KVG is the three-letter IATA airport code assigned to Kavieng Airport in Papua New Guinea.
  • B. KGNV
    KGNV is the ICAO airport code for Gainesville Regional Airport, a public airport serving Gainesville, Florida.
  • C. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • D. GKW
    GKW is the National Rail station code for Greenock West railway station in Inverclyde, Scotland.
  • E. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b591f3c81909ea8a9217d96e0d2 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c55d6b88190b0f57009be962194 completed May 8, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e56e7e88190b70497e168d707de completed May 8, 2026, 11:14 p.m.
Created at: April 10, 2026, 1:55 a.m.