Triple

T1955996
Position Surface form Disambiguated ID Type / Status
Subject Hudson Valley Regional Airport E42268 entity
Predicate ICAO code P419 FINISHED
Object KPOU
KPOU is the ICAO airport code for Hudson Valley Regional Airport in Dutchess County, New York.
 E218471 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: KPOU | Statement: [Hudson Valley Regional Airport, ICAO code, KPOU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KPOU
Context triple: [Hudson Valley Regional Airport, ICAO code, KPOU]
  • A. PNU
    PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • B. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • C. POC
    POC is the commonly used abbreviation for the Postal Operations Council, the executive body responsible for overseeing the operational, commercial, and technical activities of the Universal Postal Union.
  • D. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • E. Poqomam
    Poqomam is a Mayan language spoken primarily in Guatemala by the Poqomam Maya people, known for its rich oral traditions and complex grammatical structure.
  • 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: KPOU
Triple: [Hudson Valley Regional Airport, ICAO code, KPOU]
Generated description
KPOU is the ICAO airport code for Hudson Valley Regional Airport in Dutchess County, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KPOU
Target entity description: KPOU is the ICAO airport code for Hudson Valley Regional Airport in Dutchess County, New York.
  • A. PNU
    PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • B. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • C. POC
    POC is the commonly used abbreviation for the Postal Operations Council, the executive body responsible for overseeing the operational, commercial, and technical activities of the Universal Postal Union.
  • D. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • E. Poqomam
    Poqomam is a Mayan language spoken primarily in Guatemala by the Poqomam Maya people, known for its rich oral traditions and complex grammatical structure.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37b4a38819099f98be92be91ade completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbca5a7081908f3fa8eaa8f5aa3d completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6bd8e08190a065a89ab3412126 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcee414c8190b1a0574f6bd55602 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.