Triple

T14209481
Position Surface form Disambiguated ID Type / Status
Subject Santiago Island E352189 entity
Predicate hasCity P316 FINISHED
Object Assomada E485384 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: Assomada | Statement: [Santiago Island, hasCity, Assomada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assomada
Context triple: [Santiago Island, hasCity, Assomada]
  • A. Assomada chosen
    Assomada is a central market town and important commercial hub on the island of Santiago in Cape Verde.
  • B. Desamparados
    Desamparados is a populous canton and suburb of San José in Costa Rica, known for its residential neighborhoods and proximity to the capital city.
  • C. Rancate
    Rancate is a village in the canton of Ticino in southern Switzerland, known for its historic architecture and proximity to Lake Lugano.
  • D. La Palud
    La Palud is a small hamlet in Courmayeur, Italy, situated in the Aosta Valley near the Mont Blanc massif and popular as a base for alpine tourism and mountain activities.
  • E. Asomante
    Asomante is a rural barrio (district) of the municipality of Aibonito in Puerto Rico, known for its mountainous landscape and cool climate.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19557f908190abb3dc116676f215 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.