Triple

T12519115
Position Surface form Disambiguated ID Type / Status
Subject Kerċem E299267 entity
Predicate hasBorderWith P224 FINISHED
Object San Lawrenz E987039 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: San Lawrenz | Statement: [Kerċem, hasBorderWith, San Lawrenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Lawrenz
Context triple: [Kerċem, hasBorderWith, San Lawrenz]
  • A. San Lawrenz chosen
    San Lawrenz is a small rural village on the island of Gozo in Malta, known for its traditional character and proximity to scenic countryside and coastal landscapes.
  • B. Laurenz
    Laurenz is a given name and surname, primarily used in German-speaking regions, that is a variant of the name Lawrence.
  • C. Orlando Lorenzini
    Orlando Lorenzini was an Italian military officer best known for commanding Axis forces during the World War II Battle of Sidi Bou Zid in Tunisia.
  • D. Laurenti
    Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
  • E. Lourens
    Lourens is a given name derived from the Latin name Laurentius, commonly used in Dutch and Afrikaans contexts.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545a2e188190bb92120df740003d completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eae71fc819083ec63dbfbf32465 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:57 p.m.