Triple

T18530936
Position Surface form Disambiguated ID Type / Status
Subject Doctrine ORM E452827 entity
Predicate usedWith P4791 FINISHED
Object Silex 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: Silex | Statement: [Doctrine ORM, usedWith, Silex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silex
Context triple: [Doctrine ORM, usedWith, Silex]
  • A. Silex chosen
    Silex is a lightweight PHP microframework used for building small, fast web applications and APIs.
  • B. Dolomieu
    Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
  • C. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • D. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • E. Marosillye
    Marosillye is a historical settlement in Transylvania, known as the birthplace of the 17th-century Prince of Transylvania, Gabriel Bethlen.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fd0e348190ab3d4548f74b9b79 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.