Triple

T5224144
Position Surface form Disambiguated ID Type / Status
Subject Strawberry Hill railway station E117942 entity
Predicate hasStationCode P1289 FINISHED
Object STW
STW is the National Rail station code for Strawberry Hill railway station in the London Borough of Richmond upon Thames, England.
 E503106 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: STW | Statement: [Strawberry Hill railway station, hasStationCode, STW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STW
Context triple: [Strawberry Hill railway station, hasStationCode, STW]
  • A. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • B. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • E. STU
    STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
  • 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: STW
Triple: [Strawberry Hill railway station, hasStationCode, STW]
Generated description
STW is the National Rail station code for Strawberry Hill railway station in the London Borough of Richmond upon Thames, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STW
Target entity description: STW is the National Rail station code for Strawberry Hill railway station in the London Borough of Richmond upon Thames, England.
  • A. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • B. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • E. STU
    STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7abd3ed48190bfd8d2f2ca399741 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff852bc81908467a343c5ded404 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0761c208190bac06ff1f92c8224 completed March 21, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69bef14ca27c81909a5a44155c9ddaf9 completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.