Triple

T1231087
Position Surface form Disambiguated ID Type / Status
Subject Getting to Happy E26442 entity
Predicate hasCentralRelationshipType P24749 FINISHED
Object long-term female friendship 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: long-term female friendship | Statement: [Getting to Happy, hasCentralRelationshipType, long-term female friendship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCentralRelationshipType
Context triple: [Getting to Happy, hasCentralRelationshipType, long-term female friendship]
  • A. hasCentralGroup
    Indicates that an entity possesses or is associated with a primary or central group within its structure or organization.
  • B. isCentralTo
    Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
  • C. hasPrimitiveRelation
    Indicates a basic, direct relationship between entities that is not derived from or dependent on any other relations.
  • D. hasCentralAct
    Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
  • E. hasCentralSpace
    Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5a25348190a0665b6324c4d8f5 completed March 1, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69a4bb65d61c8190bf0424ea0019a98b completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbf83584819088c69366f58586cc completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:47 p.m.