Triple

T1021747
Position Surface form Disambiguated ID Type / Status
Subject Food and Nutrition Service E22053 entity
Predicate hasProgram P178 FINISHED
Object WIC
WIC is a U.S. federal assistance program that provides supplemental foods, nutrition education, and health care referrals to low-income pregnant women, new mothers, infants, and young children.
 E121743 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: WIC | Statement: [Food and Nutrition Service, hasProgram, WIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIC
Context triple: [Food and Nutrition Service, hasProgram, WIC]
  • A. WIC
    WIC is the common abbreviation for the Dutch West India Company, a 17th-century chartered trading company of the Dutch Republic involved in Atlantic trade, colonization, and privateering.
  • B. SNAP
    SNAP is the stock ticker symbol for Snap Inc., the American technology and social media company best known for its Snapchat messaging app.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • E. W&A
    W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
  • 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: WIC
Triple: [Food and Nutrition Service, hasProgram, WIC]
Generated description
WIC is a U.S. federal assistance program that provides supplemental foods, nutrition education, and health care referrals to low-income pregnant women, new mothers, infants, and young children.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIC
Target entity description: WIC is a U.S. federal assistance program that provides supplemental foods, nutrition education, and health care referrals to low-income pregnant women, new mothers, infants, and young children.
  • A. WIC
    WIC is the common abbreviation for the Dutch West India Company, a 17th-century chartered trading company of the Dutch Republic involved in Atlantic trade, colonization, and privateering.
  • B. SNAP
    SNAP is the stock ticker symbol for Snap Inc., the American technology and social media company best known for its Snapchat messaging app.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • E. W&A
    W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dead9c8190a0f8d4ef48e6c809 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb63f14819098f5e32af3b98508 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3de4fbb88190855cf92af51fe70b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.