Triple

T10224756
Position Surface form Disambiguated ID Type / Status
Subject golden wattle E243177 entity
Predicate genus P87 FINISHED
Object Acacia E515262 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: Acacia | Statement: [golden wattle, genus, Acacia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acacia
Context triple: [golden wattle, genus, Acacia]
  • A. Acacia chosen
    Acacia is a diverse genus of thorny trees and shrubs common in warm regions worldwide, especially known for dominating many African savanna landscapes.
  • B. Acacias
    Acacias is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • C. Acacias
    Acacias is a Madrid Metro station serving the central Arganzuela district and providing access to nearby residential and commercial areas.
  • D. Acacia caven
    Acacia caven is a thorny, drought-tolerant leguminous tree native to South America, commonly found in Mediterranean-type ecosystems such as the Chilean Matorral.
  • E. Parkesia
    Parkesia is a small genus of New World wood-warblers known for its ground-dwelling, insectivorous species such as the Northern and Louisiana waterthrushes.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f860048190bb20f7d3bf87f347 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f70a23288190a1dbb67324cfd799 completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:16 a.m.