Triple

T14862697
Position Surface form Disambiguated ID Type / Status
Subject Fassifern railway station E349536 entity
Predicate formerName P65 FINISHED
Object Fassifern Platform
Fassifern Platform was the original name of the railway stop that later became Fassifern railway station in New South Wales, Australia.
 E1123770 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: Fassifern Platform | Statement: [Fassifern railway station, formerName, Fassifern Platform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fassifern Platform
Context triple: [Fassifern railway station, formerName, Fassifern Platform]
  • A. Za'atara
    Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
  • B. Fassifern Valley
    Fassifern Valley is a rural locality in Queensland, Australia, known for its fertile farmland, scenic landscapes, and role in the region’s agricultural production.
  • C. Faraya
    Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
  • D. Ammoudia
    Ammoudia is a small coastal village in northwestern Greece, known for its sandy beach and location at the mouth of the Acheron River.
  • E. Farshut
    Farshut is a town in Upper Egypt known as an agricultural and local commercial center within the Qena region.
  • 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: Fassifern Platform
Triple: [Fassifern railway station, formerName, Fassifern Platform]
Generated description
Fassifern Platform was the original name of the railway stop that later became Fassifern railway station in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fassifern Platform
Target entity description: Fassifern Platform was the original name of the railway stop that later became Fassifern railway station in New South Wales, Australia.
  • A. Za'atara
    Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
  • B. Fassifern Valley
    Fassifern Valley is a rural locality in Queensland, Australia, known for its fertile farmland, scenic landscapes, and role in the region’s agricultural production.
  • C. Faraya
    Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
  • D. Ammoudia
    Ammoudia is a small coastal village in northwestern Greece, known for its sandy beach and location at the mouth of the Acheron River.
  • E. Farshut
    Farshut is a town in Upper Egypt known as an agricultural and local commercial center within the Qena region.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded574d0ec8190a6afed672ba6c2f9 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650c41b081909cdadbaec472eee3 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66218cb88190b8c86b359abaa14c completed May 8, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69fe66de57cc8190935d764d399f56f5 completed May 8, 2026, 10:42 p.m.
Created at: April 10, 2026, 1:54 a.m.