Triple

T3351509
Position Surface form Disambiguated ID Type / Status
Subject Oude-Tonge E70503 entity
Predicate locatedNear P294 FINISHED
Object Krammer-Volkerak E13954 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: Krammer-Volkerak | Statement: [Oude-Tonge, locatedNear, Krammer-Volkerak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krammer-Volkerak
Context triple: [Oude-Tonge, locatedNear, Krammer-Volkerak]
  • A. Krammer chosen
    Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
  • B. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • C. de Kremer
    de Kremer is the original family surname of the renowned 16th-century Flemish cartographer Gerardus Mercator.
  • D. Nal Kalchbrenner
    Nal Kalchbrenner is a computer scientist and machine learning researcher known for co-developing WaveNet, a groundbreaking deep generative model for raw audio.
  • E. Hölldobler
    Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb221a7d8819086cd0f826eca0fe8 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252f3f248190bb61db5c4fd2781a completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.