Triple

T19465912
Position Surface form Disambiguated ID Type / Status
Subject Traveler (Arkansas Travelers mascot identity) E486997 entity
Predicate hasMascotVariants P136028 FINISHED
Object multiple specific mascot characters over time 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: multiple specific mascot characters over time | Statement: [Traveler (Arkansas Travelers mascot identity), hasMascotVariants, multiple specific mascot characters over time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMascotVariants
Context triple: [Traveler (Arkansas Travelers mascot identity), hasMascotVariants, multiple specific mascot characters over time]
  • A. hasMascot
    Indicates that an entity is represented or symbolized by a particular mascot.
  • B. hasMascotFeature
    Indicates that an entity possesses a specific characteristic, attribute, or element related to a mascot.
  • C. hasMascotIdentity
    Indicates that an entity serves as or possesses the role/identity of a mascot for another entity.
  • D. isMascot
    Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
  • E. hasCompanionMascot
    Indicates that an entity is accompanied by or associated with a specific mascot serving as its companion.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e1dccc819096feb1a514b9eb86 completed April 20, 2026, 2:10 p.m.
PD Predicate disambiguation batch_69e4fd7499a4819082bec0be8afba35c completed April 19, 2026, 4:06 p.m.
PDg Predicate description generation batch_69e5004c23308190a087b7941a90725f completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:39 p.m.