Triple

T5083169
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 50 E114571 entity
Predicate hasStation P35 FINISHED
Object Zuid E493969 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: Zuid | Statement: [Amsterdam Metro line 50, hasStation, Zuid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuid
Context triple: [Amsterdam Metro line 50, hasStation, Zuid]
  • A. Zuid chosen
    Zuid is a major Amsterdam railway and metro station that serves as a key transport hub in the city’s southern business district.
  • B. Noord
    Noord is the northern terminus station of Amsterdam’s North–South metro line (Line 52), serving as a key public transport hub for the city’s northern districts.
  • C. Noord
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • D. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • E. West Betuwe
    West Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, historic villages, and location along major rivers in the central 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7517af308190bab5507a9344bf68 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed912629c8190beffde376f0aedc7 completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:39 p.m.