Triple

T21635460
Position Surface form Disambiguated ID Type / Status
Subject Merina Malagasy E533946 entity
Predicate hasLoanwordsFrom P506 FINISHED
Object English E211 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: English | Statement: [Merina Malagasy, hasLoanwordsFrom, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [Merina Malagasy, hasLoanwordsFrom, English]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. English
    English refers to the people, language, and cultural identity originating from England and historically associated with the broader Anglo-Saxon and later British heritage.
  • C. Inglis
    Inglis is a surname most prominently associated with Australian rugby league star Greg Inglis.
  • D. ENG
    ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
  • E. Ingliste
    Ingliste is a small village located in Rapla County in western Estonia.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538c5fbc8190a3316cf91f9516dc completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f97ba188190b00ddfbbeee22499 completed May 17, 2026, 6:57 p.m.
Created at: April 16, 2026, 6:35 p.m.