Triple

T4668507
Position Surface form Disambiguated ID Type / Status
Subject Wasauksing First Nation E102904 entity
Predicate hasReserveType P45275 FINISHED
Object Indian reserve 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: Indian reserve | Statement: [Wasauksing First Nation, hasReserveType, Indian reserve]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReserveType
Context triple: [Wasauksing First Nation, hasReserveType, Indian reserve]
  • A. hasReservationType chosen
    Indicates that an entity is associated with a specific category or type of reservation.
  • B. hasReserveStatus
    Indicates that an entity holds a designated reserve or backup status in relation to another entity or role.
  • C. hasReserveFunction
    Indicates that an entity serves as a backup or secondary option that can perform the same function if the primary one is unavailable or fails.
  • D. typeOfReserve
    Indicates that one entity is classified as a specific kind or category of reserve in relation to another entity.
  • E. hasRateType
    Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd655aceb081908100ffc0498fe183 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6215864c8190b50ba0f63ba87d0c completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:15 p.m.