Triple

T9569654
Position Surface form Disambiguated ID Type / Status
Subject Court of Arches E230881 entity
Predicate appliesField P89856 FINISHED
Object ecclesiastical law 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: ecclesiastical law | Statement: [Court of Arches, appliesField, ecclesiastical law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesField
Context triple: [Court of Arches, appliesField, ecclesiastical law]
  • A. supportsField
    Indicates that one entity provides the necessary structure, stability, or backing for a particular field, area, or domain associated with another entity.
  • B. definesField
    Indicates that one entity specifies or declares a particular field or attribute that belongs to or characterizes another entity.
  • C. appliedAs
    Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
  • D. fromField
    Indicates that something originates in, is sourced from, or is associated with a particular field or domain.
  • E. appliesFrom
    Indicates that a rule, condition, or effect begins to be applicable starting from a specific point in time or state.
  • F. None of above. chosen

Provenance (4 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998940c881909f9025512cf72fe9 completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd59b960c8190966a8870a2426bd5 completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93e90048190a2b0d7c5c195ba98 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:04 p.m.