Triple

T16763768
Position Surface form Disambiguated ID Type / Status
Subject Daytona Normal and Industrial Institute E407410 entity
Predicate foundedWithResources P46809 FINISHED
Object very limited financial resources 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: very limited financial resources | Statement: [Daytona Normal and Industrial Institute, foundedWithResources, very limited financial resources]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foundedWithResources
Context triple: [Daytona Normal and Industrial Institute, foundedWithResources, very limited financial resources]
  • A. foundedWith
    Indicates that an entity was established or created together with another entity, typically as co-founders or jointly initiated partners.
  • B. foundedWithSupportFrom chosen
    Indicates that an entity was established or created with assistance, backing, or resources provided by another entity.
  • C. foundedFor
    Indicates that an entity was established or created specifically to serve, support, or benefit another entity or purpose.
  • D. founded by
    Indicates that an entity was established or created through the initiative, actions, or leadership of another entity.
  • E. foundedFrom
    Indicates that an entity was established or originated starting from a particular source, place, or prior entity.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abef492c8190880d3b39c3641eed completed April 18, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69e319cbd79c8190a03587a61c18bec0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:21 a.m.