Triple

T15277971
Position Surface form Disambiguated ID Type / Status
Subject Tucanoan languages E365192 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Tucano E772609 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: Tucano | Statement: [Tucanoan languages, hasMemberLanguage, Tucano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tucano
Context triple: [Tucanoan languages, hasMemberLanguage, Tucano]
  • A. Tucana
    Tucana is a small, southern-sky constellation best known for containing most of the Small Magellanic Cloud and the globular cluster 47 Tucanae.
  • B. Super Tucano light attack aircraft
    The Super Tucano light attack aircraft is a Brazilian-built turboprop designed for close air support, counterinsurgency, and advanced pilot training, widely used by air forces around the world.
  • C. Embraer EMB 312 Tucano chosen
    The Embraer EMB 312 Tucano is a Brazilian turboprop trainer and light attack aircraft widely used for pilot training and counterinsurgency roles around the world.
  • D. Jabiru
    Jabiru is a small town in Australia's Northern Territory that serves as a key service and tourism hub for Kakadu National Park in the Top End region.
  • E. Nu Tucanae
    Nu Tucanae is a star located in the southern constellation Tucana.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00953bc848190b83919f39d5ee37b completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef734f488190951d029183d456f5 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.