Triple

T21841051
Position Surface form Disambiguated ID Type / Status
Subject Knight Ridder E539252 entity
Predicate tickerSymbol P1447 FINISHED
Object KRI
KRI was the New York Stock Exchange ticker symbol for Knight Ridder, a major American newspaper and media company that was one of the largest newspaper publishers in the United States before its acquisition by The McClatchy Company.
 E1503442 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: KRI | Statement: [Knight Ridder, tickerSymbol, KRI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KRI
Context triple: [Knight Ridder, tickerSymbol, KRI]
  • A. KNI
    KNI is the three-letter station code used to identify Knightsbridge tube station on the London Underground network.
  • B. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • C. KARI
    KARI is South Korea's national aerospace research organization responsible for developing space and aeronautical technologies, including satellites and launch vehicles.
  • D. KRA
    KRA is Kenya’s national tax collection and revenue administration agency responsible for assessing, collecting, and accounting for government revenue.
  • E. KRA
    KRA is the vehicle registration code assigned to cars registered in the Kraków region of Poland, including the town of Słomniki.
  • 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: KRI
Triple: [Knight Ridder, tickerSymbol, KRI]
Generated description
KRI was the New York Stock Exchange ticker symbol for Knight Ridder, a major American newspaper and media company that was one of the largest newspaper publishers in the United States before its acquisition by The McClatchy Company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KRI
Target entity description: KRI was the New York Stock Exchange ticker symbol for Knight Ridder, a major American newspaper and media company that was one of the largest newspaper publishers in the United States before its acquisition by The McClatchy Company.
  • A. KNI
    KNI is the three-letter station code used to identify Knightsbridge tube station on the London Underground network.
  • B. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • C. KARI
    KARI is South Korea's national aerospace research organization responsible for developing space and aeronautical technologies, including satellites and launch vehicles.
  • D. KRA
    KRA is Kenya’s national tax collection and revenue administration agency responsible for assessing, collecting, and accounting for government revenue.
  • E. KRA
    KRA is the vehicle registration code assigned to cars registered in the Kraków region of Poland, including the town of Słomniki.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ab71e081908e3d3293743e6409 completed April 28, 2026, 12:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45f0ded08190b17f3473ac339b01 completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a4682eca08190916e211b0e9e3861 completed May 17, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_6a0a474e900c81909c5167c63509ae0a completed May 17, 2026, 10:55 p.m.
Created at: April 16, 2026, 6:55 p.m.