Triple

T13809202
Position Surface form Disambiguated ID Type / Status
Subject Erie International Airport E331840 entity
Predicate ICAOcode P419 FINISHED
Object KERI
KERI is the ICAO airport code for Erie International Airport, a public airport serving Erie, Pennsylvania.
E1062824 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: KERI | Statement: [Erie International Airport, ICAOcode, KERI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KERI
Context triple: [Erie International Airport, ICAOcode, KERI]
  • A. Keri
    Keri is a given name that functions as a spelling variant of the name Carrie.
  • B. Keri
    Keri is a village located in the North Goa district of the Indian state of Goa, known for its coastal setting and Goan cultural influences.
  • C. Kerri
    Kerri is a given name, typically a feminine variant of the name Kerry.
  • D. KER
    KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • E. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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: KERI
Triple: [Erie International Airport, ICAOcode, KERI]
Generated description
KERI is the ICAO airport code for Erie International Airport, a public airport serving Erie, Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KERI
Target entity description: KERI is the ICAO airport code for Erie International Airport, a public airport serving Erie, Pennsylvania.
  • A. Keri
    Keri is a given name that functions as a spelling variant of the name Carrie.
  • B. Keri
    Keri is a village located in the North Goa district of the Indian state of Goa, known for its coastal setting and Goan cultural influences.
  • C. Kerri
    Kerri is a given name, typically a feminine variant of the name Kerry.
  • D. KER
    KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • E. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b15143108190a49a09afba93eb45 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b50c31ac81909b17013d57dda164 completed May 3, 2026, 8:50 p.m.
Created at: April 9, 2026, 10:12 p.m.