Triple

T13869289
Position Surface form Disambiguated ID Type / Status
Subject Deinze E333407 entity
Predicate locatedOnRiver P165 FINISHED
Object Lys E87201 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: Lys | Statement: [Deinze, locatedOnRiver, Lys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lys
Context triple: [Deinze, locatedOnRiver, Lys]
  • A. Lys chosen
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • B. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • C. Lys
    Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • D. Lyss
    Lyss is a Swiss municipality in the canton of Bern, known as a regional transport hub and residential town within the greater Bern area.
  • E. Lis
    Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c530148190b11704300bbd5f9b completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c105da548190b908a54fec029236 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.