Triple

T5083165
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 50 E114571 entity
Predicate hasStation P35 FINISHED
Object Lelylaan E493673 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: Lelylaan | Statement: [Amsterdam Metro line 50, hasStation, Lelylaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lelylaan
Context triple: [Amsterdam Metro line 50, hasStation, Lelylaan]
  • A. Lelylaan chosen
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • B. Llaillay
    Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
  • C. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • D. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • E. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • 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_69bec360a5848190a243da780b53559c completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:39 p.m.