Triple

T5965234
Position Surface form Disambiguated ID Type / Status
Subject Plymouth E132735 entity
Predicate capitalOf P204 FINISHED
Object Montserrat (de jure) E17737 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: Montserrat (de jure) | Statement: [Plymouth, capitalOf, Montserrat (de jure)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montserrat (de jure)
Context triple: [Plymouth, capitalOf, Montserrat (de jure)]
  • A. Montserrat chosen
    Montserrat is a small Caribbean island and British Overseas Territory known for its volcanic activity and lush, mountainous landscape.
  • B. Montecristi
    Montecristi is a historic town in coastal Ecuador renowned as the traditional birthplace and production center of the Panama hat.
  • C. Monserrat
    Monserrat is a historic neighborhood in central Buenos Aires, Argentina, known for its colonial architecture, political landmarks, and role as one of the city’s oldest districts.
  • D. Aranuka
    Aranuka is a low-lying coral atoll in the central Pacific Ocean that forms part of the island nation of Kiribati.
  • E. San Vicente
    San Vicente is a coastal municipality in the Philippine province of Northern Samar known for its island communities and fishing-based local economy.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3ca1dc819098cde8ae5ec1d845 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113585ad88190a35d549448b10def completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:03 p.m.