Triple

T23019270
Position Surface form Disambiguated ID Type / Status
Subject Expected Family Contribution (EFC) E573116 entity
Predicate perceivedIssue P21734 FINISHED
Object term was considered confusing and misleading to families LITERAL 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: term was considered confusing and misleading to families | Statement: [Expected Family Contribution (EFC), perceivedIssue, term was considered confusing and misleading to families]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perceivedIssue
Context triple: [Expected Family Contribution (EFC), perceivedIssue, term was considered confusing and misleading to families]
  • A. possibleIssue
    Indicates that there is a potential or suspected problem, defect, or undesired condition associated with the referenced entity or situation, though it is not yet confirmed.
  • B. facingIssue
    Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
  • C. underlyingIssue
    Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
  • D. knownIssue chosen
    Indicates that the subject has an issue or problem that is already identified, recognized, or documented.
  • E. involvesIssue
    Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
  • F. None of above.

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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e777cc81908c0b0bfd9d5a717c completed April 29, 2026, 4:07 a.m.
PD Predicate disambiguation batch_69ef3b9cd5488190bcd23183179f48cd completed April 27, 2026, 10:34 a.m.
Created at: April 17, 2026, 3:52 p.m.