Triple

T14273105
Position Surface form Disambiguated ID Type / Status
Subject Port Lympia E353841 entity
Predicate hasPart P35 FINISHED
Object Lympia basin E512602 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: Lympia basin | Statement: [Port Lympia, hasPart, Lympia basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lympia basin
Context triple: [Port Lympia, hasPart, Lympia basin]
  • A. Lympia Basin chosen
    Lympia Basin is the main historic harbor basin of the Port of Nice on the French Riviera, known for its marina and waterfront activities.
  • B. Norrström basin
    The Norrström basin is a Swedish river basin in central Sweden that collects waters from several large lakes, including Lake Hjälmaren, and drains them toward the Baltic Sea.
  • C. Marsili Basin
    Marsili Basin is a deep submarine basin in the southern Tyrrhenian Sea associated with active volcanic and tectonic processes.
  • D. Suhre basin
    The Suhre basin is a river catchment area in Switzerland drained by the Suhre River, a tributary of the Aare, encompassing its surrounding landscape and hydrological system.
  • E. Ceresio basin
    The Ceresio basin is the hydrological catchment area associated with Lake Lugano (also known as Ceresio) in the southern Alps between Switzerland and Italy.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de65811d7c8190b075909a6570d415 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326a5aec8190b139a0c49fd43705 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.