Triple

T20277030
Position Surface form Disambiguated ID Type / Status
Subject Negrar di Valpolicella E503042 entity
Predicate hasProvinceCode P3446 FINISHED
Object VR
VR is the provincial code for the Province of Verona in the Veneto region of northern Italy.
E1421522 NE FINISHED

How this triple was built (4 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: VR | Statement: [Negrar di Valpolicella, hasProvinceCode, VR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VR
Context triple: [Negrar di Valpolicella, hasProvinceCode, VR]
  • A. VR
    VR is a vehicle registration code used on license plates to identify vehicles registered in Bergen auf Rügen, Germany.
  • B. VR
    VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
  • C. VR
    VR is a Finnish state-owned railway company that operates most of Finland’s passenger and freight rail services.
  • D. VRT
    VRT is Belgium’s public-service broadcaster for the Flemish Community, providing television, radio, and online media.
  • E. XR
    XR is the IATA airline designator assigned to Corendon Airlines Europe, a European leisure carrier.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VR
Triple: [Negrar di Valpolicella, hasProvinceCode, VR]
Generated description
VR is the provincial code for the Province of Verona in the Veneto region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VR
Target entity description: VR is the provincial code for the Province of Verona in the Veneto region of northern Italy.
  • A. VR
    VR is a vehicle registration code used on license plates to identify vehicles registered in Bergen auf Rügen, Germany.
  • B. VR
    VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
  • C. VR
    VR is a Finnish state-owned railway company that operates most of Finland’s passenger and freight rail services.
  • D. VRT
    VRT is Belgium’s public-service broadcaster for the Flemish Community, providing television, radio, and online media.
  • E. XR
    XR is the IATA airline designator assigned to Corendon Airlines Europe, a European leisure carrier.
  • F. None of above. chosen

Provenance (5 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e4cdfc81908c7cb4519a7d744b completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a21233881908fb835541ae88c70 completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085a8b52088190976c1ef189de5a5b completed May 16, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a085af42c1c81908c9ee0f84f9a9481 completed May 16, 2026, 11:54 a.m.
Created at: April 16, 2026, 10:35 a.m.