Triple

T3135731
Position Surface form Disambiguated ID Type / Status
Subject Pentagon City station E65523 entity
Predicate hasCode P9567 FINISHED
Object C09
C09 is the station code used by the Washington Metro to identify Pentagon City station on its rail network.
 E328892 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: C09 | Statement: [Pentagon City station, hasCode, C09]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C09
Context triple: [Pentagon City station, hasCode, C09]
  • A. C90
    C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
  • B. C-9
    C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
  • C. C595
    C595 is the designation for an ASTM standard specification covering blended hydraulic cements used in construction.
  • D. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • E. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • 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: C09
Triple: [Pentagon City station, hasCode, C09]
Generated description
C09 is the station code used by the Washington Metro to identify Pentagon City station on its rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C09
Target entity description: C09 is the station code used by the Washington Metro to identify Pentagon City station on its rail network.
  • A. C90
    C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
  • B. C-9
    C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
  • C. C595
    C595 is the designation for an ASTM standard specification covering blended hydraulic cements used in construction.
  • D. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • E. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5637de0819089393429c4017298 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8793488190aa31040edaf1d627 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2103d83688190b107ecbacac604c1 completed March 12, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b210a290088190aaa10a015519e1de completed March 12, 2026, 1:02 a.m.
Created at: March 8, 2026, 3:05 p.m.