Triple

T22376160
Position Surface form Disambiguated ID Type / Status
Subject National Hispanic Recognition Program E553155 entity
Predicate hasAbbreviation P43 FINISHED
Object NHRP
NHRP is a College Board recognition program that honors high-achieving Hispanic/Latino high school students in the United States.
 E1532541 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: NHRP | Statement: [National Hispanic Recognition Program, hasAbbreviation, NHRP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NHRP
Context triple: [National Hispanic Recognition Program, hasAbbreviation, NHRP]
  • A. HSRP
    HSRP (Hot Standby Router Protocol) is a Cisco redundancy protocol that provides automatic failover and high availability for default gateway routers on a LAN.
  • B. HSRP
    HSRP is a standardized, tamper-resistant high security registration plate used on vehicles in India to enhance identification and reduce fraud.
  • C. NRPs
    NRPs are strategic policy documents prepared by EU member states outlining their plans and measures to implement the Union’s economic and structural reform objectives, particularly under the Europe 2020 and European Semester frameworks.
  • D. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • E. NAT
    NAT is the IATA airport code for Natal Air Base, a military airfield serving the Natal region in Brazil.
  • 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: NHRP
Triple: [National Hispanic Recognition Program, hasAbbreviation, NHRP]
Generated description
NHRP is a College Board recognition program that honors high-achieving Hispanic/Latino high school students in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NHRP
Target entity description: NHRP is a College Board recognition program that honors high-achieving Hispanic/Latino high school students in the United States.
  • A. HSRP
    HSRP (Hot Standby Router Protocol) is a Cisco redundancy protocol that provides automatic failover and high availability for default gateway routers on a LAN.
  • B. HSRP
    HSRP is a standardized, tamper-resistant high security registration plate used on vehicles in India to enhance identification and reduce fraud.
  • C. NRPs
    NRPs are strategic policy documents prepared by EU member states outlining their plans and measures to implement the Union’s economic and structural reform objectives, particularly under the Europe 2020 and European Semester frameworks.
  • D. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • E. NAT
    NAT is the IATA airport code for Natal Air Base, a military airfield serving the Natal region in Brazil.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158285d208190bc7d05d315267995 completed April 29, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae06e23dc8190b20d951ea908c6c8 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1b572748190a31b34e64a40f57d completed May 18, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae26aaa8081908b255e39fb91dcb2 completed May 18, 2026, 9:56 a.m.
Created at: April 16, 2026, 8:45 p.m.