Triple

T12131318
Position Surface form Disambiguated ID Type / Status
Subject Oleaceae E288941 entity
Predicate containsGenus P9413 FINISHED
Object Olea E272486 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: Olea | Statement: [Oleaceae, containsGenus, Olea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olea
Context triple: [Oleaceae, containsGenus, Olea]
  • A. Oliwa
    Oliwa is a historic district of Gdańsk in northern Poland, known for its medieval monastery complex, cathedral, and role in regional maritime history.
  • B. L’Olive
    L’Olive is a mid-16th-century sonnet sequence by French poet Joachim du Bellay that helped introduce and adapt Italian Renaissance Petrarchan forms into French literature.
  • C. Olive chosen
    Olive is a given name and word most commonly associated with the small, oily fruit of the olive tree used for food and oil production.
  • D. Oliba
    Oliba was a medieval Catalan count who became a prominent Benedictine abbot and one of the leading figures of the Peace and Truce of God movement.
  • E. Oliva
    Oliva is the surname of Tony Oliva, a Cuban-born former Major League Baseball star known for his standout career with the Minnesota Twins.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.