Triple

T22197775
Position Surface form Disambiguated ID Type / Status
Subject Alessandria linguistic area E548590 entity
Predicate hasContinuumRelationWith P68371 FINISHED
Object other Piedmontese dialect areas 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: other Piedmontese dialect areas | Statement: [Alessandria linguistic area, hasContinuumRelationWith, other Piedmontese dialect areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasContinuumRelationWith
Context triple: [Alessandria linguistic area, hasContinuumRelationWith, other Piedmontese dialect areas]
  • A. belongsToContinuity
    Indicates that something is part of, or exists within, a specific narrative or temporal continuity.
  • B. continuityRelation chosen
    Indicates a relationship where one entity directly follows, extends, or maintains an unbroken connection with another in space, time, or logical sequence.
  • C. hasChronologyRelation
    Indicates a temporal ordering relationship between entities, specifying how one relates to another in time (e.g., before, after, or overlapping).
  • D. hasRelation
    Indicates that there exists some specified relationship or association between two entities.
  • E. hasNeighborRelationshipWith
    Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae8c74c819080c7f9e8383ecaa7 completed April 28, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:36 p.m.