Triple

T13328938
Position Surface form Disambiguated ID Type / Status
Subject Springfield Terminal Railway E317515 entity
Predicate hasAbbreviation P43 FINISHED
Object ST
ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
 E1035912 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: ST | Statement: [Springfield Terminal Railway, hasAbbreviation, ST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ST
Context triple: [Springfield Terminal Railway, hasAbbreviation, ST]
  • A. ST
    ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
  • B. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • C. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • D. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • E. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • 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: ST
Triple: [Springfield Terminal Railway, hasAbbreviation, ST]
Generated description
ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ST
Target entity description: ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
  • A. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • B. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • C. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • D. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • E. ST
    ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992e4f908190a6f172bf910cffb8 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f329e148190a7741344b27ea663 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f7231e7f5881908dde74ad279362ed completed May 3, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69f723a23524819082c15e048ebff350 completed May 3, 2026, 10:29 a.m.
Created at: April 9, 2026, 9:30 p.m.