Triple

T15140567
Position Surface form Disambiguated ID Type / Status
Subject Western Sardinia E361671 entity
Predicate includesArea P1393 FINISHED
Object Nurra E401307 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: Nurra | Statement: [Western Sardinia, includesArea, Nurra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nurra
Context triple: [Western Sardinia, includesArea, Nurra]
  • A. Nurra chosen
    Nurra is a historical and sparsely populated coastal region in northwest Sardinia, Italy, known for its rural landscapes and agricultural activity.
  • B. Teba
    Teba is a town in the province of Málaga, Spain, historically notable as the site of a major medieval battle during the Reconquista.
  • C. Labweh
    Labweh is a town in northeastern Lebanon situated within the Baalbek-Hermel Governorate, known for its agricultural surroundings and proximity to the Syrian border.
  • D. Umm Rashrash
    Umm Rashrash was the small Ottoman-era and later British Mandate outpost on the Red Sea that preceded and eventually became the modern Israeli city of Eilat.
  • E. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c46a248190a2364092d40274f3 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfec3ae48190b2d8e853dab00777 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.