Triple

T9584952
Position Surface form Disambiguated ID Type / Status
Subject Coliseum BART station E231263 entity
Predicate hasStationCode P1289 FINISHED
Object CL
CL is the station code used to identify the Coliseum BART station in the Bay Area Rapid Transit system.
 E809032 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: CL | Statement: [Coliseum BART station, hasStationCode, CL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CL
Context triple: [Coliseum BART station, hasStationCode, CL]
  • A. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • B. CL
    CL is the ticker symbol for West Texas Intermediate (WTI) crude oil futures contracts traded on the New York Mercantile Exchange (NYMEX).
  • C. CL
    CL is the vehicle registration code used on license plates for vehicles registered in Peru’s Callao Region.
  • D. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • E. CLE
    CLE is the three-letter IATA airport code for Cleveland Hopkins International Airport, the primary commercial airport serving the Cleveland, Ohio metropolitan area.
  • 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: CL
Triple: [Coliseum BART station, hasStationCode, CL]
Generated description
CL is the station code used to identify the Coliseum BART station in the Bay Area Rapid Transit system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CL
Target entity description: CL is the station code used to identify the Coliseum BART station in the Bay Area Rapid Transit system.
  • A. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • B. CL
    CL is the ticker symbol for West Texas Intermediate (WTI) crude oil futures contracts traded on the New York Mercantile Exchange (NYMEX).
  • C. CL
    CL is the vehicle registration code used on license plates for vehicles registered in Peru’s Callao Region.
  • D. CLE
    CLE is the standard abbreviation used for the Cleveland Monsters, a professional ice hockey team in the American Hockey League.
  • E. CLE
    CLE is the three-letter IATA airport code for Cleveland Hopkins International Airport, the primary commercial airport serving the Cleveland, Ohio metropolitan area.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99d080c88190a7d3876589d7b864 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1617cd02c8190a1efbeb5bad0e48e completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d1624400b8819085b1c1a93cddc3f6 completed April 4, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69d162b39c888190ae71b05ee2e132a8 completed April 4, 2026, 7:12 p.m.
Created at: March 30, 2026, 8:06 p.m.