Triple

T22244428
Position Surface form Disambiguated ID Type / Status
Subject Niedersachsenstadion E549804 entity
Predicate locatedNear P294 FINISHED
Object Maschsee 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: Maschsee | Statement: [Niedersachsenstadion, locatedNear, Maschsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maschsee
Context triple: [Niedersachsenstadion, locatedNear, Maschsee]
  • A. Maschsee chosen
    Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
  • B. Walchsee
    Walchsee is a picturesque lake and village in the Austrian state of Tyrol, known for its alpine scenery and outdoor recreational activities.
  • C. Zermützelsee
    Zermützelsee is a lake in the Ostprignitz-Ruppin district of Brandenburg, Germany, known for its natural surroundings and recreational opportunities.
  • D. Mauensee
    Mauensee is a small Swiss municipality in the canton of Lucerne, known for its scenic lake and rural surroundings.
  • E. Küssnachtersee
    Küssnachtersee is a narrow northern arm of Lake Lucerne in central Switzerland, bordered by picturesque lakeside villages and surrounded by gentle pre-Alpine hills.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.