Triple

T8264434
Position Surface form Disambiguated ID Type / Status
Subject National Vaccine Program Office E193267 entity
Predicate abbreviation P43 FINISHED
Object NVPO
NVPO is a U.S. federal office that coordinated national vaccine policy and programs to improve immunization coverage and public health.
 E722092 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: NVPO | Statement: [National Vaccine Program Office, abbreviation, NVPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NVPO
Context triple: [National Vaccine Program Office, abbreviation, NVPO]
  • A. NVP
    NVP is the vehicle registration code used for motor vehicles registered in the Vorpommern-Rügen district of Germany.
  • B. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • C. DNPO
    DNPO is the ICAO airport code for Port Harcourt International Airport in Nigeria.
  • D. NOVN
    NOVN is the stock ticker symbol for Novartis, a major Swiss multinational pharmaceutical company known for developing and manufacturing innovative medicines.
  • E. NCOP
    NCOP is South Africa’s upper house of Parliament, representing the country’s nine provinces in the national legislative process.
  • 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: NVPO
Triple: [National Vaccine Program Office, abbreviation, NVPO]
Generated description
NVPO is a U.S. federal office that coordinated national vaccine policy and programs to improve immunization coverage and public health.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NVPO
Target entity description: NVPO is a U.S. federal office that coordinated national vaccine policy and programs to improve immunization coverage and public health.
  • A. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • B. NVP
    NVP is the vehicle registration code used for motor vehicles registered in the Vorpommern-Rügen district of Germany.
  • C. DNPO
    DNPO is the ICAO airport code for Port Harcourt International Airport in Nigeria.
  • D. NOVN
    NOVN is the stock ticker symbol for Novartis, a major Swiss multinational pharmaceutical company known for developing and manufacturing innovative medicines.
  • E. NCOP
    NCOP is South Africa’s upper house of Parliament, representing the country’s nine provinces in the national legislative process.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb793aa8f08190b20b3616ceb9bec7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd4e5e9a2c819099a65053a12c8fde completed April 1, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69cd507ce2a881909da6871a9f6df119 completed April 1, 2026, 5:06 p.m.
Created at: March 30, 2026, 5:49 p.m.