Triple

T13721314
Position Surface form Disambiguated ID Type / Status
Subject São Mateus da Calheta E329042 entity
Predicate urbanRelation P94117 FINISHED
Object suburban area of Angra do Heroísmo 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: suburban area of Angra do Heroísmo | Statement: [São Mateus da Calheta, urbanRelation, suburban area of Angra do Heroísmo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanRelation
Context triple: [São Mateus da Calheta, urbanRelation, suburban area of Angra do Heroísmo]
  • A. cityStatusRelationship
    Indicates a relationship specifying the administrative or legal status of a city (such as whether it is a capital, municipality type, or holds a particular civic designation).
  • B. hasUrbanRelation chosen
    Indicates a relationship where one entity is connected to another through an urban context, such as city-based location, influence, or interaction.
  • C. cityRelationship
    Indicates a relationship that specifies how one city is connected or related to another city (e.g., administratively, geographically, or functionally).
  • D. landRelation
    Indicates a spatial or ownership-based relationship between entities and a specific piece or area of land.
  • E. urbanRelationToLowerCity
    Indicates a spatial or functional relationship between an urban area and a lower-lying part of the city, such as adjacency, connection, or influence.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69dbbe92d77c81908e0244cffb7f78c5 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:55 p.m.