Triple

T11446806
Position Surface form Disambiguated ID Type / Status
Subject National Institute of Public Health (Mexico) E271286 entity
Predicate shortName P43 FINISHED
Object INSP
INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
 E926412 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: INSP | Statement: [National Institute of Public Health (Mexico), shortName, INSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: INSP
Context triple: [National Institute of Public Health (Mexico), shortName, INSP]
  • A. INS
    INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
  • B. Ins
    Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
  • C. INNSA
    INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
  • D. IN-TR
    IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
  • E. INST
    INST is the stock ticker symbol for Instructure, an education technology company best known for its Canvas learning management system.
  • 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: INSP
Triple: [National Institute of Public Health (Mexico), shortName, INSP]
Generated description
INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: INSP
Target entity description: INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
  • A. INS
    INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
  • B. Ins
    Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
  • C. INNSA
    INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
  • D. IN-TR
    IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
  • E. INST
    INST is the stock ticker symbol for Instructure, an education technology company best known for its Canvas learning management system.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3bdafb08190aadf5d63facfedaf completed April 20, 2026, 7:20 a.m.
NEDg Description generation batch_69e5d7e46e248190aba139dc32185e2f completed April 20, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_69e5e192297c8190992578f734e63427 completed April 20, 2026, 8:19 a.m.
Created at: April 8, 2026, 9:35 p.m.