Triple

T19754875
Position Surface form Disambiguated ID Type / Status
Subject Dial H E474476 entity
Predicate hasIssueType P17287 FINISHED
Object ongoing series 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: ongoing series | Statement: [Dial H, hasIssueType, ongoing series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIssueType
Context triple: [Dial H, hasIssueType, ongoing series]
  • A. hasIssueWith
    Indicates that one entity experiences a problem, conflict, or concern related to another entity.
  • B. hasTargetIssue
    Indicates that an entity is associated with or directed toward a specific issue, problem, or concern as its focus.
  • C. containsIssue
    Indicates that one entity includes, encompasses, or has within it a particular issue, problem, or defect.
  • D. issueType chosen
    Indicates the specific category or classification assigned to an issue within a tracking or management context.
  • E. hasInternalIssue
    Indicates that an entity is experiencing a problem, fault, or malfunction originating within itself or its internal components or processes.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529dada081909c5b4d65247c6032 completed April 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69e5305016e08190b9561a96baecb0b8 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:48 p.m.