Triple

T6690862
Position Surface form Disambiguated ID Type / Status
Subject Circuit Court for Howard County E152621 entity
Predicate hasRecordKeeping P2722 FINISHED
Object court of record with official transcripts 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: court of record with official transcripts | Statement: [Circuit Court for Howard County, hasRecordKeeping, court of record with official transcripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecordKeeping
Context triple: [Circuit Court for Howard County, hasRecordKeeping, court of record with official transcripts]
  • A. statusRecordedBy
    Indicates that the status of an entity was documented or captured by a specific agent or system.
  • B. recordHeld chosen
    Indicates that one entity possesses or maintains a particular record associated with another entity or context.
  • C. retentionMethod
    Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
  • D. recordHeldIn
    Indicates that a record is stored, maintained, or kept within a particular location, system, or repository.
  • E. recordStatus
    Indicates the current state or condition of a record within a system or process (e.g., active, inactive, pending, or archived).
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6cd0fa5188190a23281cb09d98139 completed March 27, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69c6ad0d3c1081908dadff7a6a054123 completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:04 p.m.