Triple

T19970619
Position Surface form Disambiguated ID Type / Status
Subject Left Pillar E480061 entity
Predicate associatedWithPolarity P138082 FINISHED
Object feminine 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: feminine | Statement: [Left Pillar, associatedWithPolarity, feminine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithPolarity
Context triple: [Left Pillar, associatedWithPolarity, feminine]
  • A. associatedWithFlag
    Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
  • B. associatedWithRight
    Indicates a relationship in which an entity is connected to, linked with, or related to something characterized as "right" (such as a right-hand side, a legal right, or a correct option), depending on the domain context.
  • C. associatedWithDirection
    Indicates that something has a relationship to, or is characterized by, a particular spatial or directional orientation.
  • D. logicalPolarity
    Indicates that the truth value of a statement is affirmed (positive) or denied (negative) relative to some logical context.
  • E. associatedWithAssociation
    Indicates a relationship where an entity is linked or connected to a particular association or organization.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc89b508190879d29bef546aac8 completed April 20, 2026, 5 p.m.
PD Predicate disambiguation batch_69e537f7e4848190b431a69ec3f1b609 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:54 p.m.