Triple

T16160099
Position Surface form Disambiguated ID Type / Status
Subject Human Research Program E392153 entity
Predicate abbreviation P43 FINISHED
Object HRP
HRP is NASA’s Human Research Program, which investigates and mitigates health and performance risks to enable safe, long-duration human space exploration.
 E1198085 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: HRP | Statement: [Human Research Program, abbreviation, HRP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HRP
Context triple: [Human Research Program, abbreviation, HRP]
  • A. 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.
  • B. HRD
    HRD was the ISO 4217 currency code for the Croatian dinar, the transitional currency used in Croatia in the early 1990s before the introduction of the kuna.
  • C. HRD
    HRD is the National Rail station code for Harling Road railway station in Norfolk, England.
  • D. HOR
    HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
  • E. HOR
    HOR is the National Rail station code for Horley railway station in Surrey, England.
  • 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: HRP
Triple: [Human Research Program, abbreviation, HRP]
Generated description
HRP is NASA’s Human Research Program, which investigates and mitigates health and performance risks to enable safe, long-duration human space exploration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HRP
Target entity description: HRP is NASA’s Human Research Program, which investigates and mitigates health and performance risks to enable safe, long-duration human space exploration.
  • A. 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.
  • B. HRD
    HRD is the National Rail station code for Harling Road railway station in Norfolk, England.
  • C. HRD
    HRD was the ISO 4217 currency code for the Croatian dinar, the transitional currency used in Croatia in the early 1990s before the introduction of the kuna.
  • D. HOR
    HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
  • E. HOR
    HOR is the National Rail station code for Horley railway station in Surrey, England.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5de3c481908eb5cdf194a47ff7 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b33f3481909fe856b8be7d9bcd completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff86a556c819096bc008e1ca76e8c completed May 10, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fff926120081909f1042bf3a16ea10 completed May 10, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:01 a.m.