Triple

T1577412
Position Surface form Disambiguated ID Type / Status
Subject Lanzarote E33684 entity
Predicate largestCity P235 FINISHED
Object Arrecife E163859 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: Arrecife | Statement: [Lanzarote, largestCity, Arrecife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arrecife
Context triple: [Lanzarote, largestCity, Arrecife]
  • A. Arrecife chosen
    Arrecife is the capital and main port city of the Spanish island of Lanzarote in the Canary Islands, known for its coastal promenades and volcanic island surroundings.
  • B. Cayo Ballena
    Cayo Ballena is a small offshore islet belonging to the Puerto Rican island municipality of Culebra in the Caribbean.
  • C. Cayo Lobo
    Cayo Lobo is a small, uninhabited offshore islet belonging to the Puerto Rican island municipality of Culebra in the Caribbean.
  • D. Cocos Island
    Cocos Island is a remote, lush Pacific island and Costa Rican national park renowned for its rich biodiversity and as a haven for unique bird and marine species.
  • E. Isla Verde
    Isla Verde is a popular beachfront district in the metropolitan area of San Juan, Puerto Rico, known for its resorts, nightlife, and sandy shores.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d571f081908acec43ff2ef112d completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4696c34c8190826bc6ab4dad7c01 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.