Triple

T13478864
Position Surface form Disambiguated ID Type / Status
Subject County Kerry E318316 entity
Predicate ISOCode P208 FINISHED
Object IE-KY
IE-KY is the ISO 3166-2 code that uniquely identifies County Kerry, a county in the southwest of Ireland.
 E1042390 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: IE-KY | Statement: [County Kerry, ISOCode, IE-KY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IE-KY
Context triple: [County Kerry, ISOCode, IE-KY]
  • A. KIYK
    KIYK is the ICAO airport code for Inyokern Airport, a public airport serving the Inyokern area in Kern County, California.
  • B. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • C. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • D. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • E. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • 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: IE-KY
Triple: [County Kerry, ISOCode, IE-KY]
Generated description
IE-KY is the ISO 3166-2 code that uniquely identifies County Kerry, a county in the southwest of Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IE-KY
Target entity description: IE-KY is the ISO 3166-2 code that uniquely identifies County Kerry, a county in the southwest of Ireland.
  • A. KIYK
    KIYK is the ICAO airport code for Inyokern Airport, a public airport serving the Inyokern area in Kern County, California.
  • B. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • C. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • D. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • E. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463340fc8190b1128bd1d26f91ab completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f747fee42c819097ccfaf01b1bf4da completed May 3, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69f748bfc1a481908c3a86018533e45d completed May 3, 2026, 1:08 p.m.
Created at: April 9, 2026, 9:42 p.m.