Triple

T10792654
Position Surface form Disambiguated ID Type / Status
Subject Eindhoven Centraal railway station E254620 entity
Predicate serves P98 FINISHED
Object city of Eindhoven E13694 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: city of Eindhoven | Statement: [Eindhoven Centraal railway station, serves, city of Eindhoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Eindhoven
Context triple: [Eindhoven Centraal railway station, serves, city of Eindhoven]
  • A. Eindhoven chosen
    Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
  • B. Heerlen
    Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
  • C. Eindhoven region
    The Eindhoven region is an urban and industrial area in the southern Netherlands centered on the city of Eindhoven, known for its high-tech industry, design innovation, and strong economic development.
  • D. Alphen aan den Rijn
    Alphen aan den Rijn is a Dutch town and municipality situated along the Oude Rijn river in the western Netherlands.
  • E. Tilburg
    Tilburg is a city in the southern Netherlands known historically as an industrial and textile center and now as a regional cultural and educational hub.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.