Triple

T23280871
Position Surface form Disambiguated ID Type / Status
Subject Sutton Common railway station E588857 entity
Predicate railcode P27071 FINISHED
Object SUC
SUC is the National Rail station code for Sutton Common railway station in the London Borough of Sutton, England.
 E1578104 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: SUC | Statement: [Sutton Common railway station, railcode, SUC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUC
Context triple: [Sutton Common railway station, railcode, SUC]
  • A. SUCI
    SUCI (Subscription Concealed Identifier) is a privacy-preserving identifier in 5G networks that protects a subscriber’s permanent identity (SUPI) by encrypting it during initial registration and authentication.
  • B. SUK
    SUK is the commonly used abbreviation for Shivaji University, a public state university located in Kolhapur, Maharashtra, India.
  • C. SUJ
    SUJ is the IATA airport code for Satu Mare International Airport in Satu Mare, Romania.
  • D. SUX
    SUX is the IATA airport code for Sioux Gateway Airport serving Sioux City, Iowa.
  • E. SUG
    SUG is the standard abbreviation for the Sugar Land Space Cowboys, a Minor League Baseball team based in Sugar Land, Texas.
  • 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: SUC
Triple: [Sutton Common railway station, railcode, SUC]
Generated description
SUC is the National Rail station code for Sutton Common railway station in the London Borough of Sutton, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUC
Target entity description: SUC is the National Rail station code for Sutton Common railway station in the London Borough of Sutton, England.
  • A. SUCI
    SUCI (Subscription Concealed Identifier) is a privacy-preserving identifier in 5G networks that protects a subscriber’s permanent identity (SUPI) by encrypting it during initial registration and authentication.
  • B. SUK
    SUK is the commonly used abbreviation for Shivaji University, a public state university located in Kolhapur, Maharashtra, India.
  • C. SUJ
    SUJ is the IATA airport code for Satu Mare International Airport in Satu Mare, Romania.
  • D. SUX
    SUX is the IATA airport code for Sioux Gateway Airport serving Sioux City, Iowa.
  • E. SUG
    SUG is the standard abbreviation for the Sugar Land Space Cowboys, a Minor League Baseball team based in Sugar Land, Texas.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19642b46481909fd455acd2155792 completed April 29, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7f06a08190a3ac574cdcd79e3d completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c4075bc508190ae0dc8b61c24faa0 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c411702a48190ba2964ba221394d1 completed May 19, 2026, 10:53 a.m.
Created at: April 17, 2026, 4:56 p.m.