Triple

T25502928
Position Surface form Disambiguated ID Type / Status
Subject National Book Network E639167 entity
Predicate distributesFor P147717 FINISHED
Object Rowman & Littlefield NE NERFINISHED

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: Rowman & Littlefield | Statement: [National Book Network, distributesFor, Rowman & Littlefield]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distributesFor
Context triple: [National Book Network, distributesFor, Rowman & Littlefield]
  • A. distributesIn
    Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
  • B. distributesAs
    Indicates that one entity allocates or hands out something (such as resources, items, or information) to multiple other entities according to some plan or rule.
  • C. distributesFrom
    Indicates that something acts as the source or origin from which items, resources, or information are distributed to others.
  • D. distributionFor chosen
    Indicates a relationship where one entity serves as the distribution, delivery, or dissemination mechanism for another entity.
  • E. distributedFor
    Indicates that something is handed out, allocated, or made available for the benefit or use of a particular recipient, purpose, or context.
  • F. None of above.

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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f80381a481909f39b55b220ad261 completed May 2, 2026, 1:11 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
Created at: April 21, 2026, 2:45 p.m.