Triple

T29044254
Position Surface form Disambiguated ID Type / Status
Subject Buiksloterwegveer ferry E738087 entity
Predicate nearbyLandmarkAtSouthBank P147350 FINISHED
Object Amsterdam Centraal railway station 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: Amsterdam Centraal railway station | Statement: [Buiksloterwegveer ferry, nearbyLandmarkAtSouthBank, Amsterdam Centraal railway station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyLandmarkAtSouthBank
Context triple: [Buiksloterwegveer ferry, nearbyLandmarkAtSouthBank, Amsterdam Centraal railway station]
  • A. stateOnSouthBank
    Indicates that one entity (typically a state or region) is located on the southern bank of another geographic feature, such as a river or body of water.
  • B. southernNearbyLandmark chosen
    Indicates that one landmark is located to the south and in close proximity to another landmark.
  • C. municipalityOnSouthBank
    Indicates that a municipality is located on the southern bank of a specified river or water body.
  • D. countryOnSouthBank
    Indicates that a country is located on the southern bank of a specified river or water body.
  • E. typicalNearbyLandmarks
    Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
  • F. None of above.

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_69f077efb3848190b41574e1670f6ae2 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd13595c81908719f52c3d37a7e8 completed May 6, 2026, 10:13 p.m.
Created at: April 28, 2026, 10:03 a.m.