Triple

T6507260
Position Surface form Disambiguated ID Type / Status
Subject Keringhuis E150041 entity
Predicate mainSubject P3 FINISHED
Object Maeslantkering E15706 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: Maeslantkering | Statement: [Keringhuis, mainSubject, Maeslantkering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maeslantkering
Context triple: [Keringhuis, mainSubject, Maeslantkering]
  • A. Maeslantkering chosen
    Maeslantkering is a massive movable storm surge barrier in the Netherlands that protects the low-lying Rotterdam region from North Sea flooding.
  • B. The Kymin
    The Kymin is a historic hilltop site near Monmouth in Wales, known for its picturesque views and Georgian-era naval monument and round house.
  • C. Meifod
    Meifod is a small village in Powys, Wales, situated in a rural valley landscape near the River Vyrnwy.
  • D. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • E. Cowfold
    Cowfold is a small rural village and civil parish in West Sussex, England, known for its historic church and location at the junction of key local roads.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6996818c881909d036f916da0efb5 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50d155c81908b01914db32494d8 completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:43 p.m.