Triple

T4050216
Position Surface form Disambiguated ID Type / Status
Subject Menotomy E84165 entity
Predicate colonialSettlementType P14278 FINISHED
Object village 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: village | Statement: [Menotomy, colonialSettlementType, village]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: colonialSettlementType
Context triple: [Menotomy, colonialSettlementType, village]
  • A. settlerType
    Indicates the specific category or classification of a settler involved in the relationship or context.
  • B. humanSettlementType chosen
    Indicates the classification of a human settlement based on its form or function, such as village, town, or city.
  • C. colonialDesignation
    Indicates that one entity assigns or holds a status, name, or classification for another entity within a colonial or colonially imposed framework.
  • D. hadPrimarySettlementPattern
    Indicates that an entity exhibited or was characterized by a particular dominant form or arrangement of human settlement.
  • E. hasColonialEconomyBasedOn
    Indicates that an entity’s colonial economy is primarily structured around or dependent on the specified resource, activity, or economic basis.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8413848190992e4b5f3b29b43c completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.