Triple

T33443736
Position Surface form Disambiguated ID Type / Status
Subject San Salvatore Telesino E856433 entity
Predicate hasNearbyThermalArea P200207 FINISHED
Object Telese thermal area 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: Telese thermal area | Statement: [San Salvatore Telesino, hasNearbyThermalArea, Telese thermal area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyThermalArea
Context triple: [San Salvatore Telesino, hasNearbyThermalArea, Telese thermal area]
  • A. hasThermalActivity
    Indicates that an entity exhibits or is associated with heat-related phenomena such as heating, cooling, or temperature change.
  • B. hasThermalEstablishment
    Indicates that one entity is responsible for creating, setting, or defining the thermal conditions or temperature state of another entity.
  • C. hasThermalResource
    Indicates that an entity possesses, provides, or is associated with a source of thermal energy or heat-related capability.
  • D. hasAccumulationAreaNear
    Indicates that an accumulation area (such as collected material, fluid, or debris) is located in close proximity to a specified reference entity or region.
  • E. hasProtectedAreasNearby
    Indicates that an entity is located close to one or more designated protected or conservation areas.
  • F. None of above. chosen

Provenance (4 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_69f34971b75881908be360bb041f003c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff7ae5d088819089aa3b6360b6b749 completed May 9, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69ff7a4df6488190bf60d675b36b1d6d completed May 9, 2026, 6:17 p.m.
PDg Predicate description generation batch_69ff7ae4bc948190a4cd21a60d091977 completed May 9, 2026, 6:20 p.m.
Created at: May 1, 2026, 1:37 a.m.