Triple

T8264209
Position Surface form Disambiguated ID Type / Status
Subject Office on Women’s Health E193262 entity
Predicate abbreviation P43 FINISHED
Object OWH
OWH is a U.S. government agency within the Department of Health and Human Services that focuses on improving the health and well-being of women across the nation.
 E722085 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: OWH | Statement: [Office on Women’s Health, abbreviation, OWH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OWH
Context triple: [Office on Women’s Health, abbreviation, OWH]
  • A. WHR
    WHR is the commonly used abbreviation for the World Health Report, the World Health Organization’s flagship publication on global health statistics, trends, and policy.
  • B. OMH
    OMH is the commonly used abbreviation for the New York State Office of Mental Health, the state agency responsible for overseeing public mental health services in New York.
  • C. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • D. OSRH
    OSRH is the official abbreviation for the Armed Forces of the Republic of Croatia, encompassing the country's army, navy, and air force.
  • E. OW
    OW is the official vehicle registration code used on license plates for the Swiss canton of Obwalden.
  • 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: OWH
Triple: [Office on Women’s Health, abbreviation, OWH]
Generated description
OWH is a U.S. government agency within the Department of Health and Human Services that focuses on improving the health and well-being of women across the nation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OWH
Target entity description: OWH is a U.S. government agency within the Department of Health and Human Services that focuses on improving the health and well-being of women across the nation.
  • A. WHR
    WHR is the commonly used abbreviation for the World Health Report, the World Health Organization’s flagship publication on global health statistics, trends, and policy.
  • B. OMH
    OMH is the commonly used abbreviation for the New York State Office of Mental Health, the state agency responsible for overseeing public mental health services in New York.
  • C. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • D. OSRH
    OSRH is the official abbreviation for the Armed Forces of the Republic of Croatia, encompassing the country's army, navy, and air force.
  • E. OW
    OW is the official vehicle registration code used on license plates for the Swiss canton of Obwalden.
  • 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.