Triple

T14716523
Position Surface form Disambiguated ID Type / Status
Subject black currawong E345694 entity
Predicate genus P87 FINISHED
Object Strepera E796790 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: Strepera | Statement: [black currawong, genus, Strepera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strepera
Context triple: [black currawong, genus, Strepera]
  • A. Strepera chosen
    Strepera is a small genus of medium-sized, mostly black Australasian passerine birds known as currawongs, native to Australia and nearby islands.
  • B. Strogoula
    Strogoula is a prominent mountain peak in the Tzoumerka range of the Pindus Mountains in northwestern Greece, known for its rugged terrain and scenic alpine landscapes.
  • C. Scallabis
    Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
  • D. Trpísty
    Trpísty is a small village in the Plzeň Region of the Czech Republic, known for its rural character and historical manor house.
  • E. Pisoderi
    Pisoderi is a mountain village and ski resort in northern Greece, known for its scenic landscapes and proximity to the city of Florina.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98688f48190b2b19ce7aa06a6db completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0913d6c8190886df4cd0a92aa80 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.