Triple

T7564827
Position Surface form Disambiguated ID Type / Status
Subject Playa del Inglés E178885 entity
Predicate adjacentTo P224 FINISHED
Object San Agustín E621649 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: San Agustín | Statement: [Playa del Inglés, adjacentTo, San Agustín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Agustín
Context triple: [Playa del Inglés, adjacentTo, San Agustín]
  • A. San Agustín chosen
    San Agustín is a coastal resort area on the island of Gran Canaria in Spain’s Canary Islands, known for its beaches, hotels, and proximity to the larger resort of Maspalomas.
  • B. El Agustino
    El Agustino is an urban district of Lima, Peru, known for its dense residential areas and working-class character on the eastern side of the city.
  • C. St. Augustine
    St. Augustine was an early Christian theologian and philosopher whose writings, especially on justice, morality, and the nature of law, profoundly shaped Western thought and Christian doctrine.
  • D. St. Augustine
    St. Augustine is a historic city in northeastern Florida, renowned as the oldest continuously inhabited European-established settlement in the continental United States.
  • E. フランシスコ
    フランシスコは、日本の政治家・麻生太郎が受けたカトリックの洗礼で用いられているキリスト教名である。
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fc6a408190abf363a29359e764 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d8206081909987556fb6ab7084 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.