Triple

T15996213
Position Surface form Disambiguated ID Type / Status
Subject Sidi Bou Said E387971 entity
Predicate near P350 FINISHED
Object La Marsa E385743 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: La Marsa | Statement: [Sidi Bou Said, near, La Marsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Marsa
Context triple: [Sidi Bou Said, near, La Marsa]
  • A. La Marsa chosen
    La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
  • B. Marsa
    Marsa is a town in Malta located on the shores of the Grand Harbour, known historically for its port and industrial facilities.
  • C. Marsan
    Marsan is a small rural settlement located within the Qakh District of Azerbaijan.
  • D. Marsella
    Marsella is a small Colombian town known for its traditional architecture and coffee-growing culture in the Andean region.
  • E. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578709608190bae7bafa59280849 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.