Triple

T7923648
Position Surface form Disambiguated ID Type / Status
Subject Anholt E184005 entity
Predicate hasAirportIATA P2569 FINISHED
Object AHT
AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
 E698023 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: AHT | Statement: [Anholt, hasAirportIATA, AHT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AHT
Context triple: [Anholt, hasAirportIATA, AHT]
  • A. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • B. Ahe
    Ahe is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian way of life.
  • C. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • D. AHS
    AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
  • E. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • 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: AHT
Triple: [Anholt, hasAirportIATA, AHT]
Generated description
AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AHT
Target entity description: AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
  • A. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • B. Ahe
    Ahe is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian way of life.
  • C. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • D. AHS
    AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
  • E. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aac02bc8190b13fc354a4fa91d3 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.