Triple

T3863121
Position Surface form Disambiguated ID Type / Status
Subject Myrmeciinae E90185 entity
Predicate behavioralCharacteristic P662 FINISHED
Object strong visual orientation 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: strong visual orientation | Statement: [Myrmeciinae, behavioralCharacteristic, strong visual orientation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: behavioralCharacteristic
Context triple: [Myrmeciinae, behavioralCharacteristic, strong visual orientation]
  • A. associatedCharacterTrait
    Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
  • B. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • C. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • D. personalityType
    Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
  • E. sociologicalCharacteristic
    Indicates that one entity possesses or is associated with a particular sociological attribute, status, or trait in relation to another entity or context.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec2417648190ad010189d304d119 completed March 9, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69aee752c8a48190a670f73ed0bf1e61 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.