Triple

T7282913
Position Surface form Disambiguated ID Type / Status
Subject Echuca railway station E163793 entity
Predicate hasStationCode P1289 FINISHED
Object ECHU
ECHU is the station code for Echuca railway station in Victoria, Australia.
 E654214 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: ECHU | Statement: [Echuca railway station, hasStationCode, ECHU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ECHU
Context triple: [Echuca railway station, hasStationCode, ECHU]
  • A. CECh
    CECh is the Spanish acronym for the Episcopal Conference of Chile, the assembly of Catholic bishops responsible for coordinating the pastoral and administrative activities of the Church in Chile.
  • B. CHU
    CHU (Christelijk-Historische Unie) was a Dutch Protestant conservative political party that existed from the late 19th century until it merged into the Christian Democratic Appeal (CDA) in 1980.
  • C. Chuhuiv
    Chuhuiv is a city in northeastern Ukraine known for its historical military significance and as the birthplace of the painter Ilya Repin.
  • D. EUCO
    EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
  • E. E.C.
    E.C. is a common shorthand nickname for the city of Eau Claire in western Wisconsin.
  • 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: ECHU
Triple: [Echuca railway station, hasStationCode, ECHU]
Generated description
ECHU is the station code for Echuca railway station in Victoria, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ECHU
Target entity description: ECHU is the station code for Echuca railway station in Victoria, Australia.
  • A. CECh
    CECh is the Spanish acronym for the Episcopal Conference of Chile, the assembly of Catholic bishops responsible for coordinating the pastoral and administrative activities of the Church in Chile.
  • B. CHU
    CHU (Christelijk-Historische Unie) was a Dutch Protestant conservative political party that existed from the late 19th century until it merged into the Christian Democratic Appeal (CDA) in 1980.
  • C. Chuhuiv
    Chuhuiv is a city in northeastern Ukraine known for its historical military significance and as the birthplace of the painter Ilya Repin.
  • D. EUCO
    EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
  • E. E.C.
    E.C. is a common shorthand nickname for the city of Eau Claire in western Wisconsin.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb4ec2088190a6713eaa221d49a6 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3ae6a08190820c7096cbfea521 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbe3e2ac8190a112ff01244f6a81 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfc15d2c8190afcf8572ff3dbb6d completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:59 p.m.