Triple

T10960282
Position Surface form Disambiguated ID Type / Status
Subject Zygophyllales E258954 entity
Predicate containsGenus P9413 FINISHED
Object Larrea E399004 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: Larrea | Statement: [Zygophyllales, containsGenus, Larrea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larrea
Context triple: [Zygophyllales, containsGenus, Larrea]
  • A. Larrea chosen
    Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
  • B. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • C. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • D. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • E. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771293c208190ac084681ed801e22 completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d761d3c48190af8e0aedf96ee99f completed April 18, 2026, 12:59 a.m.
Created at: April 8, 2026, 9:23 p.m.