Triple

T13243199
Position Surface form Disambiguated ID Type / Status
Subject Sura Academy E315331 entity
Predicate locatedIn P40 FINISHED
Object Sura E77064 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: Sura | Statement: [Sura Academy, locatedIn, Sura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sura
Context triple: [Sura Academy, locatedIn, Sura]
  • A. Sura chosen
    Sura was an important Babylonian Talmudic academy that became a major center of Jewish religious scholarship and legal interpretation.
  • B. Sura
    Sura is an alternative name for the Mwaghavul people, an ethnic group primarily found in Plateau State, central Nigeria.
  • C. SURA
    SURA (Southeastern Universities Research Association) is a consortium of research universities that collaborates to advance scientific research and education, particularly in the southeastern United States.
  • D. Sūrāyē
    Sūrāyē is the endonym used by Assyrians to refer to themselves as a distinct ethnic and cultural group originating from ancient Mesopotamia.
  • E. Sura Novi
    Sura Novi is a central character in Isaac Asimov's science fiction novel "Foundation's Edge," playing a key role in the political and psychological intrigue of the story.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5b06148190a44e698bbe5cd529 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a38d09881909e8e3c32e9b1746e completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:23 p.m.