Triple

T3142142
Position Surface form Disambiguated ID Type / Status
Subject Horta Airport E65674 entity
Predicate IATAcode P418 FINISHED
Object HOR
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
 E332528 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: HOR | Statement: [Horta Airport, IATAcode, HOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HOR
Context triple: [Horta Airport, IATAcode, HOR]
  • A. HoR
    HoR is a common abbreviation for the House of Representatives, the lower chamber of a bicameral legislature in several countries, including the United States.
  • B. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • C. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • D. HRP
    HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
  • E. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • 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: HOR
Triple: [Horta Airport, IATAcode, HOR]
Generated description
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HOR
Target entity description: HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
  • A. HoR
    HoR is a common abbreviation for the House of Representatives, the lower chamber of a bicameral legislature in several countries, including the United States.
  • B. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • C. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • D. HRP
    HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
  • E. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada579b07c8190a7b316f499911a2d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e9029c8190bd88dbb18b5f71a8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b225c419cc8190ac157b5996132d3f completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b2264e67748190920fbd2db5355de4 completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.