Triple

T14899461
Position Surface form Disambiguated ID Type / Status
Subject Stroud railway station E359963 entity
Predicate hasStationCode P1289 FINISHED
Object STD
STD is the National Rail station code assigned to Stroud railway station in Gloucestershire, England.
E1124764 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: STD | Statement: [Stroud railway station, hasStationCode, STD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STD
Context triple: [Stroud railway station, hasStationCode, STD]
  • A. STD
    STD is an Internet Standards (STD) series designation used by the IETF to label documents that have reached full Internet Standard status.
  • 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: STD
Triple: [Stroud railway station, hasStationCode, STD]
Generated description
STD is the National Rail station code assigned to Stroud railway station in Gloucestershire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: STD
Target entity description: STD is the National Rail station code assigned to Stroud railway station in Gloucestershire, England.
  • A. STD
    STD is an Internet Standards (STD) series designation used by the IETF to label documents that have reached full Internet Standard status.
  • 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 Stade Toulousain, a leading French rugby union club based in Toulouse.
  • E. ST
    ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b6a8aac8190ad062b80d384fb14 completed May 8, 2026, 11:02 p.m.
NEDg Description generation batch_69fe6c68c46881909e7c748c0dff73d5 completed May 8, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe6d1eea60819087ca2ebc7d0a8994 completed May 8, 2026, 11:09 p.m.
Created at: April 10, 2026, 2:11 a.m.