Triple

T17559441
Position Surface form Disambiguated ID Type / Status
Subject Fast Application Notification E427660 entity
Predicate integratesWith P1075 FINISHED
Object Oracle drivers 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: Oracle drivers | Statement: [Fast Application Notification, integratesWith, Oracle drivers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oracle drivers
Context triple: [Fast Application Notification, integratesWith, Oracle drivers]
  • A. Oracle Net Services chosen
    Oracle Net Services is Oracle's networking layer that enables communication and data exchange between Oracle databases and client applications across distributed environments.
  • B. Oracle
    "Oracle" is a popular electronic dance music track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and heavy drops.
  • C. Oracle
    "Oracle" is a science fiction novel by British author Ian Watson, known for its imaginative exploration of advanced technology and human consciousness.
  • D. Oracle
    Oracle is the codename of Barbara Gordon, a former Batgirl who becomes Batman’s expert hacker and information broker after being paralyzed by the Joker.
  • E. JDBC
    JDBC (Java Database Connectivity) is a Java-based API that enables applications to connect to and interact with relational databases in a standardized way.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562573e48190a19f30fe915a5455 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.