Triple

T20582721
Position Surface form Disambiguated ID Type / Status
Subject Open series E505699 entity
Predicate hasFormalConcern P47677 FINISHED
Object relationship between line and field 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: relationship between line and field | Statement: [Open series, hasFormalConcern, relationship between line and field]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormalConcern
Context triple: [Open series, hasFormalConcern, relationship between line and field]
  • A. formalConcern chosen
    Indicates that one entity has an official or formally recognized interest, responsibility, or involvement regarding another entity or matter.
  • B. hasFormalConstraint
    Indicates that an entity is governed or restricted by an explicitly defined formal rule, condition, or limitation.
  • C. hasFormalStatus
    Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
  • D. raisedConcernAbout
    Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
  • E. hasManagementConcern
    Indicates that one entity has responsibility, authority, or involvement in overseeing, directing, or managing another entity or activity.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90f7e34819086b1745dcd53ba25 completed April 20, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69e59fffe1748190825e4eaa90340631 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:40 a.m.