Triple

T6221922
Position Surface form Disambiguated ID Type / Status
Subject Kannapolis City Schools E139135 entity
Predicate abbreviation P43 FINISHED
Object KCS
KCS is a public school district serving the Kannapolis, North Carolina area.
E578814 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: [Kannapolis City Schools, abbreviation, KCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCS
Context triple: [Kannapolis City Schools, abbreviation, KCS]
  • A. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • B. 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.
  • C. KC(J)
    KC(J) is a regional political party in the Indian state of Kerala, led by P. J. Joseph and primarily representing Christian agrarian interests.
  • D. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • E. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • 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: [Kannapolis City Schools, abbreviation, KCS]
Generated description
KCS is a public school district serving the Kannapolis, North Carolina area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KCS
Target entity description: KCS is a public school district serving the Kannapolis, North Carolina area.
  • A. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • B. 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.
  • C. KC(J)
    KC(J) is a regional political party in the Indian state of Kerala, led by P. J. Joseph and primarily representing Christian agrarian interests.
  • D. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • E. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bddb688190add53172a7445d01 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dcc5e788190a510cac6bbad4830 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c214980bbc8190b188b3c821ea13ea completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c2157d43048190a0376cdc9024c5f9 completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:22 p.m.