Triple

T10374179
Position Surface form Disambiguated ID Type / Status
Subject Rygge E244459 entity
Predicate hasAirportICAO P419 FINISHED
Object ENRY
ENRY is the ICAO airport code for Moss Airport, Rygge, a former civil and military airport in Rygge, Norway.
E860800 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: ENRY | Statement: [Rygge, hasAirportICAO, ENRY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ENRY
Context triple: [Rygge, hasAirportICAO, ENRY]
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • D. Henry
    Henry is a character who serves as the narrator in the 1933 film "The Power and the Glory," providing the story’s perspective and framing its events.
  • E. Henry
    Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • 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: ENRY
Triple: [Rygge, hasAirportICAO, ENRY]
Generated description
ENRY is the ICAO airport code for Moss Airport, Rygge, a former civil and military airport in Rygge, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ENRY
Target entity description: ENRY is the ICAO airport code for Moss Airport, Rygge, a former civil and military airport in Rygge, Norway.
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • D. Henry
    Henry is the given first name of American businessman and politician Ross Perot, who was a prominent third-party U.S. presidential candidate in the 1990s.
  • E. Henry
    Henry is a character who serves as the narrator in the 1933 film "The Power and the Glory," providing the story’s perspective and framing its events.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956ca1e08190880342b22a55783f completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, 12:02 p.m.