Triple

T16113198
Position Surface form Disambiguated ID Type / Status
Subject Robina railway station E390930 entity
Predicate hasStationCode P1289 FINISHED
Object RBN
RBN is the station code for Robina railway station on Queensland Rail's Gold Coast line in Robina, Queensland, Australia.
 E1194452 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: RBN | Statement: [Robina railway station, hasStationCode, RBN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RBN
Context triple: [Robina railway station, hasStationCode, RBN]
  • A. NRBP
    NRBP is an environmental initiative focused on managing, restoring, and protecting the river systems and surrounding ecosystems within the Nairobi River Basin.
  • B. NRB
    NRB is the IATA airport code for the airfield at Naval Station Mayport, a major U.S. Navy base near Jacksonville, Florida.
  • C. NRB
    NRB is the central bank of Nepal responsible for formulating monetary policy, regulating the banking sector, and maintaining financial stability in the country.
  • D. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • E. RB
    RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
  • 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: RBN
Triple: [Robina railway station, hasStationCode, RBN]
Generated description
RBN is the station code for Robina railway station on Queensland Rail's Gold Coast line in Robina, Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RBN
Target entity description: RBN is the station code for Robina railway station on Queensland Rail's Gold Coast line in Robina, Queensland, Australia.
  • A. NRBP
    NRBP is an environmental initiative focused on managing, restoring, and protecting the river systems and surrounding ecosystems within the Nairobi River Basin.
  • B. NRB
    NRB is the IATA airport code for the airfield at Naval Station Mayport, a major U.S. Navy base near Jacksonville, Florida.
  • C. NRB
    NRB is the central bank of Nepal responsible for formulating monetary policy, regulating the banking sector, and maintaining financial stability in the country.
  • D. RB
    RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
  • E. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20168bf98819093c3260d4fde2b53 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba90ffc81909d5eb8f0cfa9f147 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec6ce4e881908b530a981375cc55 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.