Triple

T15510804
Position Surface form Disambiguated ID Type / Status
Subject Kimball station E368702 entity
Predicate hasStationCode P1289 FINISHED
Object KIM
KIM is the station code for Kimball station on Chicago’s 'L' rapid transit system.
 E1020244 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: KIM | Statement: [Kimball station, hasStationCode, KIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KIM
Context triple: [Kimball station, hasStationCode, KIM]
  • A. KIM
    KIM is the IATA airport code for Kimberley Airport, a regional airport serving the city of Kimberley in South Africa.
  • B. Kiyanu Kim
    Kiyanu Kim is a songwriter and producer best known for co-writing Miley Cyrus's hit single "Wrecking Ball."
  • C. Na Kim
    Na Kim is a contemporary book cover designer and artist known for her bold, minimalist, and concept-driven visual work.
  • D. Chin-kim
    Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
  • E. Kim
    Kim is a supporting character in the psychological horror film "It Comes at Night," involved in the tense, paranoia-driven dynamics between two families during a mysterious apocalyptic outbreak.
  • 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: KIM
Triple: [Kimball station, hasStationCode, KIM]
Generated description
KIM is the station code for Kimball station on Chicago’s 'L' rapid transit system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KIM
Target entity description: KIM is the station code for Kimball station on Chicago’s 'L' rapid transit system.
  • A. KIM chosen
    KIM is the IATA airport code for Kimberley Airport, a regional airport serving the city of Kimberley in South Africa.
  • B. Kiyanu Kim
    Kiyanu Kim is a songwriter and producer best known for co-writing Miley Cyrus's hit single "Wrecking Ball."
  • C. Na Kim
    Na Kim is a contemporary book cover designer and artist known for her bold, minimalist, and concept-driven visual work.
  • D. Chin-kim
    Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
  • E. Kim
    Kim is a supporting character in the psychological horror film "It Comes at Night," involved in the tense, paranoia-driven dynamics between two families during a mysterious apocalyptic outbreak.
  • F. None of above.

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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36702ebc81908d6a00243865de61 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff379902e48190a84c71f532140f14 completed May 9, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff384962f88190964fc040a2a44aa8 completed May 9, 2026, 1:36 p.m.
Created at: April 10, 2026, 3:55 a.m.