Triple

T17189928
Position Surface form Disambiguated ID Type / Status
Subject Valdichiana E417201 entity
Predicate containsSettlement P847 FINISHED
Object Sinalunga E846946 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: Sinalunga | Statement: [Valdichiana, containsSettlement, Sinalunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinalunga
Context triple: [Valdichiana, containsSettlement, Sinalunga]
  • A. Sinalunga chosen
    Sinalunga is a historic town in Tuscany, central Italy, known for its medieval architecture and scenic location within the rolling hills of the Val di Chiana.
  • B. Calenzana
    Calenzana is a village in the Haute-Corse department of Corsica, France, known as a gateway to the island’s mountainous interior and a starting point for hiking and outdoor tourism.
  • C. Casciana Terme Lari
    Casciana Terme Lari is a municipality in Tuscany, central Italy, known for its historic hilltop village of Lari and the thermal spa resort of Casciana Terme.
  • D. Montevarchi
    Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
  • E. Rosciano
    Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d986b60819085c515101cfe65fe completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd0e1448190a9c0eadc7a8a2f6a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.