Triple

T5056444
Position Surface form Disambiguated ID Type / Status
Subject Salford Crescent E113914 entity
Predicate stationCode P1289 FINISHED
Object SLD
SLD is the National Rail station code for Salford Crescent railway station in Greater Manchester, England.
 E490468 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: SLD | Statement: [Salford Crescent, stationCode, SLD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLD
Context triple: [Salford Crescent, stationCode, SLD]
  • A. SLD
    SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
  • B. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • C. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • D. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • E. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • 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: SLD
Triple: [Salford Crescent, stationCode, SLD]
Generated description
SLD is the National Rail station code for Salford Crescent railway station in Greater Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLD
Target entity description: SLD is the National Rail station code for Salford Crescent railway station in Greater Manchester, England.
  • A. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • B. SLD
    SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
  • C. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • D. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • E. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744e45588190beaa2f96bb2f41e2 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea48cc7b88190a9ea43f79b0a0cf0 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea654fa8881908a50be410d4ea7d5 completed March 21, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69bea6ad303481909c41af9a4e002e0b completed March 21, 2026, 2:09 p.m.
Created at: March 20, 2026, 1:38 p.m.