Triple

T15401449
Position Surface form Disambiguated ID Type / Status
Subject Goulburn railway station E368325 entity
Predicate hasStationCode P1289 FINISHED
Object GLB
GLB is the station code for Goulburn railway station in New South Wales, Australia.
E1155067 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: GLB | Statement: [Goulburn railway station, hasStationCode, GLB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLB
Context triple: [Goulburn railway station, hasStationCode, GLB]
  • A. Gbl
    Gbl is the Phoenician name for the ancient Mediterranean port city known in Greek as Byblos, one of the oldest continuously inhabited cities in the world.
  • B. GOLB
    GOLB is a powerful, chaos-bringing cosmic entity from the animated series "Adventure Time," known for embodying destruction and disorder.
  • C. GBO
    GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
  • D. GBLIV
    GBLIV is the UN/LOCODE identifier for the Port of Liverpool in the United Kingdom, used in international shipping and logistics.
  • E. GB
    GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
  • 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: GLB
Triple: [Goulburn railway station, hasStationCode, GLB]
Generated description
GLB is the station code for Goulburn railway station in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GLB
Target entity description: GLB is the station code for Goulburn railway station in New South Wales, Australia.
  • A. Gbl
    Gbl is the Phoenician name for the ancient Mediterranean port city known in Greek as Byblos, one of the oldest continuously inhabited cities in the world.
  • B. GOLB
    GOLB is a powerful, chaos-bringing cosmic entity from the animated series "Adventure Time," known for embodying destruction and disorder.
  • C. GBO
    GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
  • D. GBLIV
    GBLIV is the UN/LOCODE identifier for the Port of Liverpool in the United Kingdom, used in international shipping and logistics.
  • E. GB
    GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff144af00481909191a2d33874c195 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff15ae7c9c81909fd0894e48e5b5b1 completed May 9, 2026, 11:08 a.m.
Created at: April 10, 2026, 3:19 a.m.