Triple

T3040655
Position Surface form Disambiguated ID Type / Status
Subject Nehardea E83117 entity
Predicate contemporaryWith P6401 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: [Nehardea, contemporaryWith, Sura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sura
Context triple: [Nehardea, contemporaryWith, Sura]
  • A. Sura chosen
    Sura was an important Babylonian Talmudic academy that became a major center of Jewish religious scholarship and legal interpretation.
  • B. Sūrāyē
    Sūrāyē is the endonym used by Assyrians to refer to themselves as a distinct ethnic and cultural group originating from ancient Mesopotamia.
  • C. 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.
  • D. Surallah
    Surallah is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice and corn production and its role as a commercial hub in the Allah Valley.
  • E. Sand Saref
    Sand Saref is a seductive and morally ambiguous femme fatale from the comic-book-inspired film "The Spirit," known for her complex past with the titular hero and her pursuit of priceless artifacts.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b59fea8819091796e30812df9c5 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded01a1481908be7d44c2bf4e638 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.