Triple

T14204811
Position Surface form Disambiguated ID Type / Status
Subject Hannibal Regional Airport E352060 entity
Predicate iataCode P2569 FINISHED
Object HAE
HAE is the IATA airport code for Hannibal Regional Airport, a public airport serving the Hannibal, Missouri area in the United States.
 E1085571 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: HAE | Statement: [Hannibal Regional Airport, iataCode, HAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAE
Context triple: [Hannibal Regional Airport, iataCode, HAE]
  • A. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • B. HFA
    HFA is the commonly used acronym for the New York State Housing Finance Agency, a public authority that finances affordable housing developments across New York State.
  • C. HFA
    HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
  • D. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • E. AHA
    AHA is a major professional organization in the United States dedicated to promoting the study and teaching of history.
  • 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: HAE
Triple: [Hannibal Regional Airport, iataCode, HAE]
Generated description
HAE is the IATA airport code for Hannibal Regional Airport, a public airport serving the Hannibal, Missouri area in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAE
Target entity description: HAE is the IATA airport code for Hannibal Regional Airport, a public airport serving the Hannibal, Missouri area in the United States.
  • A. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • B. HFA
    HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
  • C. HFA
    HFA is the commonly used acronym for the New York State Housing Finance Agency, a public authority that finances affordable housing developments across New York State.
  • D. AHA
    AHA is a major professional organization in the United States dedicated to promoting the study and teaching of history.
  • E. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f6d4d481909128084e82e6a58a completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ba3ab388190989f7ce32b7eb936 completed May 7, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fd1dc50944819082834db63e6da093 completed May 7, 2026, 11:18 p.m.
Created at: April 10, 2026, 1:05 a.m.