Triple

T14458832
Position Surface form Disambiguated ID Type / Status
Subject Valentano E358528 entity
Predicate bordersWith P224 FINISHED
Object Gradoli E343836 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: Gradoli | Statement: [Valentano, bordersWith, Gradoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gradoli
Context triple: [Valentano, bordersWith, Gradoli]
  • A. Gradoli chosen
    Gradoli is a small historic town in Italy’s Lazio region, situated in the hills above Lake Bolsena and known for its scenic views and Renaissance architecture.
  • B. Gaddige
    Gaddige is a historic royal tomb complex in Madikeri, Karnataka, known for its Indo-Islamic architecture and scenic hilltop setting.
  • C. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • D. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • E. Alidoro
    Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91aabebc819097eb61b2d81c9a91 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64935d8081908e5b0e80027948e0 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.