Triple

T1819458
Position Surface form Disambiguated ID Type / Status
Subject Hurlburt Field E40509 entity
Predicate FAAcode P420 FINISHED
Object HRT
HRT is the FAA airport code for Hurlburt Field, a U.S. Air Force installation and airfield in Florida.
 E204654 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: HRT | Statement: [Hurlburt Field, FAAcode, HRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HRT
Context triple: [Hurlburt Field, FAAcode, HRT]
  • A. HRT
    HRT is the FBI’s elite tactical unit specializing in high-risk hostage rescue, counterterrorism, and other critical law enforcement operations.
  • B. HRS
    HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
  • C. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • D. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • E. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • 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: HRT
Triple: [Hurlburt Field, FAAcode, HRT]
Generated description
HRT is the FAA airport code for Hurlburt Field, a U.S. Air Force installation and airfield in Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HRT
Target entity description: HRT is the FAA airport code for Hurlburt Field, a U.S. Air Force installation and airfield in Florida.
  • A. HRT
    HRT is the FBI’s elite tactical unit specializing in high-risk hostage rescue, counterterrorism, and other critical law enforcement operations.
  • B. HRS
    HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
  • C. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • D. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • E. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf629af48190a27fddc764e306a7 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07e9ebc819082566cc98025b4ae completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.