Triple

T2503788
Position Surface form Disambiguated ID Type / Status
Subject Knox County Schools E52527 entity
Predicate abbreviation P43 FINISHED
Object KCS
KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
 E272253 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: KCS | Statement: [Knox County Schools, abbreviation, KCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KCS
Context triple: [Knox County Schools, abbreviation, KCS]
  • A. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • 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: KCS
Triple: [Knox County Schools, abbreviation, KCS]
Generated description
KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KCS
Target entity description: KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • A. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cd2db0819087d21ec49ffd9585 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa34dc8819085681d673e45d841 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af2031a64c819080b1c4a3b941d84c completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20bf8e488190ac79327042d47853 completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.