Triple

T20767899
Position Surface form Disambiguated ID Type / Status
Subject A29 motorway E511146 entity
Predicate crosses P416 FINISHED
Object Haringvliet NE NERFINISHED

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: Haringvliet | Statement: [A29 motorway, crosses, Haringvliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haringvliet
Context triple: [A29 motorway, crosses, Haringvliet]
  • A. Haringvliet chosen
    Haringvliet is a former estuary in the western Netherlands that now functions as a controlled waterway and nature area connecting the Rhine-Meuse river system to the North Sea.
  • B. Haringvlietdam
    Haringvlietdam is a major Dutch storm surge barrier and dam complex that regulates water flow and protects the southwestern Netherlands from flooding as part of the Delta Works.
  • C. Waterschei
    Waterschei is a district of the Belgian city of Genk, historically known for its coal mining activities and associated industrial heritage.
  • D. Hoogeveense Vaart
    Hoogeveense Vaart is a canal in the Dutch province of Drenthe that serves as an important waterway for transport and drainage in the region.
  • E. Vriescheloo
    Vriescheloo is a small village in the province of Groningen in the Netherlands, known for its rural character and historic ribbon-shaped settlement pattern.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24df58c8190b37398353ce4bf24 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.