Triple

T2729197
Position Surface form Disambiguated ID Type / Status
Subject Hertfordshire E60268 entity
Predicate regionCode P208 FINISHED
Object HRT
HRT is the standard region code used to represent Hertfordshire, a county in southern England.
 E292963 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: [Hertfordshire, regionCode, HRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HRT
Context triple: [Hertfordshire, regionCode, 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. HRT
    HRT is the FAA airport code for Hurlburt Field, a U.S. Air Force installation and airfield in Florida.
  • C. 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.
  • D. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • E. 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.
  • 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: [Hertfordshire, regionCode, HRT]
Generated description
HRT is the standard region code used to represent Hertfordshire, a county in southern England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HRT
Target entity description: HRT is the standard region code used to represent Hertfordshire, a county in southern England.
  • A. HRT
    HRT is the FBI’s elite tactical unit specializing in high-risk hostage rescue, counterterrorism, and other critical law enforcement operations.
  • B. HRT
    HRT is the FAA airport code for Hurlburt Field, a U.S. Air Force installation and airfield in Florida.
  • C. 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.
  • D. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • E. 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.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeaee388190a21e7fa0b8f83546 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69aa8b081909c57e8a7f64d0913 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb717260c8190a93641152f163879 completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb781327c819090c42c461d17762e completed March 10, 2026, 6:17 a.m.
Created at: March 6, 2026, 9:56 p.m.