Triple

T2572265
Position Surface form Disambiguated ID Type / Status
Subject Summerhill station E57690 entity
Predicate hasStationCode P1289 FINISHED
Object SU
SU is the station code used to identify Summerhill railway station.
 E280558 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: SU | Statement: [Summerhill station, hasStationCode, SU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SU
Context triple: [Summerhill station, hasStationCode, SU]
  • A. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • B. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • C. Uni
    Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
  • D. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • E. UA
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • 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: SU
Triple: [Summerhill station, hasStationCode, SU]
Generated description
SU is the station code used to identify Summerhill railway station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SU
Target entity description: SU is the station code used to identify Summerhill railway station.
  • A. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • B. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • C. Uni
    Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
  • D. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • E. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3853c848190970e8a2da16d726d completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657028f08190b461442bfc7489e1 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af6de00ff48190ba9198e91276ec3d completed March 10, 2026, 1:03 a.m.
NED2 Entity disambiguation (via description) batch_69af6f55bbb481908f75d923caeb8a1c completed March 10, 2026, 1:09 a.m.
Created at: March 6, 2026, 9:48 p.m.