Triple

T20283697
Position Surface form Disambiguated ID Type / Status
Subject Ararat E503218 entity
Predicate hasRailwayStation P918 FINISHED
Object Ararat railway station
Ararat railway station is a regional train station in Ararat, Victoria, Australia, serving as a key junction on the Western standard gauge railway line.
 E1421888 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: Ararat railway station | Statement: [Ararat, hasRailwayStation, Ararat railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ararat railway station
Context triple: [Ararat, hasRailwayStation, Ararat railway station]
  • A. Zoravar Andranik station
    Zoravar Andranik station is a central underground station on the Yerevan Metro system in Armenia’s capital city.
  • B. Marshal Baghramyan station
    Marshal Baghramyan station is a metro station on the Yerevan Metro system in Armenia’s capital city.
  • C. Kargar station
    Kargar station is a metro stop on Tehran’s urban rail network serving passengers along Line 6.
  • D. Beruniy station
    Beruniy station is a metro station in Tashkent, Uzbekistan, serving as part of the city's Tashkent Metro rapid transit system.
  • E. Türkmenabat railway station
    Türkmenabat railway station is a key rail transport hub in eastern Turkmenistan, serving the city of Türkmenabat and connecting it to regional and national railway routes.
  • 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: Ararat railway station
Triple: [Ararat, hasRailwayStation, Ararat railway station]
Generated description
Ararat railway station is a regional train station in Ararat, Victoria, Australia, serving as a key junction on the Western standard gauge railway line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ararat railway station
Target entity description: Ararat railway station is a regional train station in Ararat, Victoria, Australia, serving as a key junction on the Western standard gauge railway line.
  • A. Zoravar Andranik station
    Zoravar Andranik station is a central underground station on the Yerevan Metro system in Armenia’s capital city.
  • B. Marshal Baghramyan station
    Marshal Baghramyan station is a metro station on the Yerevan Metro system in Armenia’s capital city.
  • C. Kargar station
    Kargar station is a metro stop on Tehran’s urban rail network serving passengers along Line 6.
  • D. Beruniy station
    Beruniy station is a metro station in Tashkent, Uzbekistan, serving as part of the city's Tashkent Metro rapid transit system.
  • E. Türkmenabat railway station
    Türkmenabat railway station is a key rail transport hub in eastern Turkmenistan, serving the city of Türkmenabat and connecting it to regional and national railway routes.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6769049b48190bc449557b79b9e81 completed April 20, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a27ba5081908af4f2cdc3a2040f completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ab05b708190b69aaeb43aca664e completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085b505a0481909e3f54868b732fc8 completed May 16, 2026, 11:56 a.m.
Created at: April 16, 2026, 10:48 a.m.