Triple

T12230552
Position Surface form Disambiguated ID Type / Status
Subject Georgetown Center for Children and Families E291464 entity
Predicate focusesOn P31 FINISHED
Object CHIP E163081 NE FINISHED

How this triple was built (2 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: CHIP | Statement: [Georgetown Center for Children and Families, focusesOn, CHIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CHIP
Context triple: [Georgetown Center for Children and Families, focusesOn, CHIP]
  • A. CHIP chosen
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • B. Chip
    Chip is a British rapper and songwriter known for his influential role in the UK grime and hip-hop scenes.
  • C. Chip
    Chip is the commonly used nickname of American politician Chip Roy, a U.S. Representative from Texas.
  • D. Chip
    Chip is the young teacup character from Disney's "Beauty and the Beast," known for his innocence, curiosity, and close relationship with Mrs. Potts.
  • E. Chip
    Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aad2d488190ba36588e3376ca1a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.