Triple

T5551319
Position Surface form Disambiguated ID Type / Status
Subject Eastern Air Lines E145531 entity
Predicate IATAcode P418 FINISHED
Object EA
EA was the IATA airline designator for Eastern Air Lines, a major U.S. carrier that operated primarily in the mid-20th century.
 E532886 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: EA | Statement: [Eastern Air Lines, IATAcode, EA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EA
Context triple: [Eastern Air Lines, IATAcode, EA]
  • A. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • B. Ea
    Ea, also known as Enki, is a major Mesopotamian god associated with wisdom, magic, and freshwater, revered as a creator and benefactor of humanity.
  • C. AE
    AE is the commonly used abbreviation for Academia Europaea, a European non-governmental association of scientists and scholars across all disciplines.
  • D. EMU
    EMU is a public university located in Ypsilanti, Michigan, known for its diverse academic programs and strong emphasis on education, business, and health-related fields.
  • E. EMU
    EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
  • 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: EA
Triple: [Eastern Air Lines, IATAcode, EA]
Generated description
EA was the IATA airline designator for Eastern Air Lines, a major U.S. carrier that operated primarily in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EA
Target entity description: EA was the IATA airline designator for Eastern Air Lines, a major U.S. carrier that operated primarily in the mid-20th century.
  • A. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • B. Ea
    Ea, also known as Enki, is a major Mesopotamian god associated with wisdom, magic, and freshwater, revered as a creator and benefactor of humanity.
  • C. AE
    AE is the commonly used abbreviation for Academia Europaea, a European non-governmental association of scientists and scholars across all disciplines.
  • D. EMU
    EMU is a public university located in Ypsilanti, Michigan, known for its diverse academic programs and strong emphasis on education, business, and health-related fields.
  • E. EMU
    EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe3e7788190aa5361b083197c17 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028350bc08190a8b48893157b86a1 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c037b4e04881908d07e704f2a161bb completed March 22, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69c0384f8ce481908e7f82edf6c17323 completed March 22, 2026, 6:43 p.m.
Created at: March 22, 2026, 3:35 p.m.