Triple

T9707930
Position Surface form Disambiguated ID Type / Status
Subject Villa Rosebery E234945 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Posillipo E192215 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: Posillipo | Statement: [Villa Rosebery, locatedInNeighborhood, Posillipo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Posillipo
Context triple: [Villa Rosebery, locatedInNeighborhood, Posillipo]
  • A. Posillipo chosen
    Posillipo is an affluent coastal district of Naples, Italy, known for its scenic cliffs, historic villas, and panoramic views over the Bay of Naples.
  • B. Monte Mario
    Monte Mario is the highest hill in Rome, known for its panoramic views over the city and the River Tiber.
  • C. Montagnana
    Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
  • D. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • E. Val Pellice
    Val Pellice is an alpine valley in the Piedmont region of northwestern Italy, known for its Waldensian heritage, scenic mountain landscapes, and outdoor recreation opportunities.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da5e09081909456909d768611e6 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f800ec48190bc3028ecb3baeb28 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.