Triple

T20561993
Position Surface form Disambiguated ID Type / Status
Subject Riverside–La Sierra station E504864 entity
Predicate hasStationCode P1289 FINISHED
Object LST
LST is the station code for Riverside–La Sierra, a commuter rail station in Riverside, California.
 E1438631 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: LST | Statement: [Riverside–La Sierra station, hasStationCode, LST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LST
Context triple: [Riverside–La Sierra station, hasStationCode, LST]
  • A. LST
    LST is the three-letter National Rail station code for London Liverpool Street, a major railway terminus in central London.
  • B. LEST
    LEST is the ICAO airport code for Santiago–Rosalía de Castro Airport in Santiago de Compostela, Spain.
  • C. SLST
    SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
  • D. Lis
    Lis is a small unincorporated rural community located in Jasper County in the U.S. state of Illinois.
  • E. Lis
    Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
  • 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: LST
Triple: [Riverside–La Sierra station, hasStationCode, LST]
Generated description
LST is the station code for Riverside–La Sierra, a commuter rail station in Riverside, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LST
Target entity description: LST is the station code for Riverside–La Sierra, a commuter rail station in Riverside, California.
  • A. LST
    LST is the three-letter National Rail station code for London Liverpool Street, a major railway terminus in central London.
  • B. LEST
    LEST is the ICAO airport code for Santiago–Rosalía de Castro Airport in Santiago de Compostela, Spain.
  • C. SLST
    SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
  • D. Lis
    Lis is a small unincorporated rural community located in Jasper County in the U.S. state of Illinois.
  • E. Lis
    Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79f906c819081163de9649ccb17 completed April 20, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acdac8008190a7a61d46f7041cf4 completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08ada4ef648190982235ebe059a9c5 completed May 16, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08aeaf2be88190bac218c7de1544fc completed May 16, 2026, 5:51 p.m.
Created at: April 16, 2026, 11:39 a.m.