Triple

T22770136
Position Surface form Disambiguated ID Type / Status
Subject Council, Alaska E563530 entity
Predicate hasLandOwnershipPattern P27560 FINISHED
Object mixed private and public lands 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: mixed private and public lands | Statement: [Council, Alaska, hasLandOwnershipPattern, mixed private and public lands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandOwnershipPattern
Context triple: [Council, Alaska, hasLandOwnershipPattern, mixed private and public lands]
  • A. hasLandOwnershipMix chosen
    Indicates that an entity has a particular combination or distribution of different types of land ownership (e.g., public, private, communal) associated with it.
  • B. hasLandholdingsIn
    Indicates that an entity owns or controls land or property located within a specified geographic area.
  • C. ownedLandBy
    Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
  • D. ownsLandFor
    Indicates that one entity possesses or holds ownership rights to land for the benefit, use, or purpose of another entity.
  • E. hasLandownershipInfluenceOn
    Indicates that one entity’s ownership or control of land affects, shapes, or exerts power over another entity or situation.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b5cea44819097290351da9c488d completed April 29, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69eed2b88d88819096015deb6a648801 completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:27 p.m.