Triple

T17704845
Position Surface form Disambiguated ID Type / Status
Subject Yerbas Buenas E441402 entity
Predicate borderingAdministrativeUnit P224 FINISHED
Object Longaví NE NERFINISHED

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: Longaví | Statement: [Yerbas Buenas, borderingAdministrativeUnit, Longaví]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longaví
Context triple: [Yerbas Buenas, borderingAdministrativeUnit, Longaví]
  • A. Longaví chosen
    Longaví is a rural municipality and town in Chile’s Maule Region, known for its agricultural activities and scenic Andean surroundings.
  • B. Afon Cille
    Afon Cille is a small river in Llanelli, Wales, known for flowing near the historic Stradey Park area.
  • C. Brandywell
    Brandywell is a district in Derry, Northern Ireland, best known for its football stadium and close-knit residential community.
  • D. Oulart
    Oulart is a small village in County Wexford, Ireland, known for its historical associations with the 1798 Rebellion.
  • E. Thuir
    Thuir is a small town in southern France’s Pyrénées-Orientales department, known for its wine and spirits production and its location in the Roussillon plain near Perpignan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47296770c8190b6b172fb647da564 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.