Triple

T10433840
Position Surface form Disambiguated ID Type / Status
Subject ESV.org E245984 entity
Predicate ownedBy P347 FINISHED
Object Crossway E47687 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: Crossway | Statement: [ESV.org, ownedBy, Crossway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crossway
Context triple: [ESV.org, ownedBy, Crossway]
  • A. Crossway chosen
    Crossway is an evangelical Christian publishing ministry best known for producing Bibles and theological books, including the English Standard Version (ESV) translation.
  • B. Tyndale House Publishers
    Tyndale House Publishers is a Christian publishing company best known for producing contemporary Bible translations and faith-based books.
  • C. Zondervan
    Zondervan is a major Christian media and publishing company best known for producing and distributing popular Bible translations and religious books.
  • D. John Murray Press
    John Murray Press is a British publishing imprint known for its diverse range of fiction and non-fiction titles, operating as part of the Hachette UK group.
  • E. InterVarsity Press
    InterVarsity Press is an evangelical Christian publishing house known for producing theological, biblical, and discipleship-oriented books for students, pastors, and lay readers.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea65afe08190b91260c9267a0f14 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc374f6c8190a44b9da27be343e4 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:14 p.m.