Triple

T13084632
Position Surface form Disambiguated ID Type / Status
Subject Essingeleden E310298 entity
Predicate hasStructure P35 FINISHED
Object Essingebron E1021085 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: Essingebron | Statement: [Essingeleden, hasStructure, Essingebron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essingebron
Context triple: [Essingeleden, hasStructure, Essingebron]
  • A. Essingebron chosen
    Essingebron is a bridge in Stockholm, Sweden, that connects the island of Lilla Essingen with the surrounding road network.
  • B. Garrelsweer
    Garrelsweer is a small village in the province of Groningen in the Netherlands, situated within the municipality of Eemsdelta.
  • C. Reimerswaal
    Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
  • D. Islandsbron
    Islandsbron is a notable bridge in Uppsala, Sweden, spanning the Fyris River and connecting central parts of the city.
  • E. Oosteinderpoel
    Oosteinderpoel is a water area or sub-lake that forms part of the Westeinderplassen lake system in the Netherlands.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e272629c8190926dbc9df447b6c4 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:02 p.m.