Triple

T19588853
Position Surface form Disambiguated ID Type / Status
Subject Sinapalo Elementary School E470176 entity
Predicate servesCommunity P82 FINISHED
Object Sinapalo NE NERFINISHED

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: Sinapalo | Statement: [Sinapalo Elementary School, servesCommunity, Sinapalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinapalo
Context triple: [Sinapalo Elementary School, servesCommunity, Sinapalo]
  • A. Sinapalo chosen
    Sinapalo is a village on the island of Rota in the Northern Mariana Islands, known as one of the island’s main residential communities.
  • B. Surmalu
    Surmalu is a historical region in the South Caucasus, known for its Armenian cultural heritage and its location around the city of Iğdır near Mount Ararat.
  • C. Sipaulovi
    Sipaulovi is a Hopi village located on Second Mesa in northeastern Arizona, known for its traditional culture and historic significance.
  • D. Lopyal
    Lopyal is a rural locality in Russia notable as the birthplace of the painter Viktor Vasnetsov.
  • E. Salla
    Salla is a sparsely populated municipality in northeastern Finland, known for its remote wilderness landscapes and history of territorial changes during the Winter War and World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64054299481908d83c85cefdab075 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.