Triple

T33719905
Position Surface form Disambiguated ID Type / Status
Subject Tenderfoot rank E863980 entity
Predicate hasRequirementCategory P206650 FINISHED
Object camping 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: camping | Statement: [Tenderfoot rank, hasRequirementCategory, camping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRequirementCategory
Context triple: [Tenderfoot rank, hasRequirementCategory, camping]
  • A. hasSupportCategory
    Indicates that an entity is associated with a particular type or category of support it receives or provides.
  • B. hasServiceRequirement
    Indicates that one entity requires a particular service to be provided, fulfilled, or supported by another entity.
  • C. hasSpecialRequirement
    Indicates that an entity is subject to a specific, non-standard condition or prerequisite that must be met.
  • D. hasEntryRequirement
    Indicates that one entity specifies conditions or qualifications that must be met before another entity is allowed access, participation, or admission.
  • E. hasMissionCategory
    Indicates that an entity is associated with a specific type or category of mission.
  • 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_69f34989871c81908682e22a2fe4b829 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037e0953908190b2930b3c06a40129 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a0379f6c3308190b954f7810214ceed completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037e07fe4481909ca21eae7a941ee7 completed May 12, 2026, 7:22 p.m.
Created at: May 1, 2026, 1:44 a.m.