Triple

T12724333
Position Surface form Disambiguated ID Type / Status
Subject Mountain Province E304064 entity
Predicate hasMajorTown P316 FINISHED
Object Paracelis E600670 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: Paracelis | Statement: [Mountain Province, hasMajorTown, Paracelis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paracelis
Context triple: [Mountain Province, hasMajorTown, Paracelis]
  • A. Paracelis chosen
    Paracelis is a rural municipality in the Mountain Province of the Philippines known for its indigenous communities and use of the Balangao language.
  • B. Paracelsus
    Paracelsus was a 16th-century Swiss physician, alchemist, and philosopher known for pioneering toxicology and challenging traditional medical doctrines.
  • C. Paracelsus
    Paracelsus is a dramatic poem by Robert Browning that explores the life, ambitions, and inner struggles of the Renaissance physician and alchemist Paracelsus.
  • D. Georg Wilhelm Postel
    Georg Wilhelm Postel was a German painter known for his landscape and genre scenes in the 19th century.
  • E. Nicolaus Pacassi
    Nicolaus Pacassi was an 18th-century Austrian court architect best known for his major contributions to Baroque and Rococo palace architecture in the Habsburg Empire.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964148f988190a4d0e7b41614fa64 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c85c6b88190bbdd94a43915a7a4 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.