Triple

T36830204
Position Surface form Disambiguated ID Type / Status
Subject Kainai dialect E910116 entity
Predicate associatedWithReserve P109405 FINISHED
Object Kainai Nation reserve in Alberta E910121 NE 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: Kainai Nation reserve in Alberta | Statement: [Kainai dialect, associatedWithReserve, Kainai Nation reserve in Alberta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithReserve
Context triple: [Kainai dialect, associatedWithReserve, Kainai Nation reserve in Alberta]
  • A. associatedReserve
    Indicates a relationship where one entity is linked to or connected with a specific reserve (such as a backup, reserve fund, or reserved resource) designated for its use or support.
  • B. associatedWithReservation chosen
    Indicates that one entity has a connection or linkage to a specific reservation.
  • C. associatedWithAddress
    Indicates a relationship where an entity is linked or connected to a specific address.
  • D. associatedWithExchange
    Indicates a relationship in which an entity is linked or connected to a particular exchange or trading platform.
  • E. associatedWithSettlement
    Indicates a relationship where an entity is linked or connected to a particular settlement, such as a town, village, or city.
  • F. None of above.

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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde6aea988190a8f53e3dd81d8a73 completed June 26, 2026, 2:05 a.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:13 p.m.