Triple

T3877733
Position Surface form Disambiguated ID Type / Status
Subject Nederrijn E92543 entity
Predicate mouthOfWaterBody P3817 FINISHED
Object Lek E15705 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: Lek | Statement: [Nederrijn, mouthOfWaterBody, Lek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lek
Context triple: [Nederrijn, mouthOfWaterBody, Lek]
  • A. Lek chosen
    The Lek is a major distributary branch of the Rhine River in the Netherlands, playing an important role in the country’s inland waterway network and flood management system.
  • B. Lumalee
    Lumalee is a melancholic blue Luma character from The Super Mario Bros. Movie, known for its darkly humorous, existential outlook despite its cute star-like appearance.
  • C. Alupka
    Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
  • D. Mightylele
    "Mightylele" is a popular dancehall/reggae track by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy, Afrobeat-infused style.
  • E. Liotta
    Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51251609c81909e19132475eb612d completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.