Triple

T14368102
Position Surface form Disambiguated ID Type / Status
Subject River Lek E356286 entity
Predicate flowsThrough P225 FINISHED
Object Lopik E323465 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: Lopik | Statement: [River Lek, flowsThrough, Lopik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lopik
Context triple: [River Lek, flowsThrough, Lopik]
  • A. Lopik chosen
    Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
  • B. Lopar
    Lopar is a coastal village and popular tourist resort located on the northern part of the Croatian island of Rab, known for its sandy beaches such as Paradise Beach.
  • C. Lokki
    Lokki is the highest mountain peak on the Faroe Islands island of Borðoy.
  • D. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • E. Pikaliiva
    Pikaliiva is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.