Triple

T18846653
Position Surface form Disambiguated ID Type / Status
Subject Fort St Angelo E460932 entity
Predicate locatedNear P294 FINISHED
Object Senglea 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: Senglea | Statement: [Fort St Angelo, locatedNear, Senglea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senglea
Context triple: [Fort St Angelo, locatedNear, Senglea]
  • A. Senglea chosen
    Senglea is a historic fortified city in Malta, renowned for its strategic role and heavy fortifications during the 1565 Great Siege of Malta.
  • B. Balzan
    Balzan is a small, traditional Maltese village in the Central Region known for its quiet residential character and historic churches.
  • C. Sliema
    Sliema is a coastal town in Malta known for its seafront promenade, shopping, and role as a major residential and commercial hub near the capital Valletta.
  • D. Ispica
    Ispica is a historic town in southeastern Sicily, Italy, known for its Baroque architecture and nearby archaeological and natural sites such as the Cava d’Ispica.
  • E. Scafati
    Scafati is a town in southern Italy’s Campania region, known for its proximity to Pompeii and its location near the Sarno River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8efafdc81909608b8a47deeaa8e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.