Triple

T13928992
Position Surface form Disambiguated ID Type / Status
Subject Paris Square station E334937 entity
Predicate partOf P40 FINISHED
Object Carmelit E66722 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: Carmelit | Statement: [Paris Square station, partOf, Carmelit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmelit
Context triple: [Paris Square station, partOf, Carmelit]
  • A. Carmelit line
    The Carmelit line is a short underground funicular railway in Haifa, Israel, connecting several central city locations via a steep hillside route.
  • B. Santa Teresa Tram
    The Santa Teresa Tram is a historic yellow streetcar line in Rio de Janeiro that carries passengers through the hilly, bohemian Santa Teresa neighborhood and across the iconic Arcos da Lapa aqueduct.
  • C. Watercress Line
    The Watercress Line is a preserved heritage railway in Hampshire, England, known for its steam-hauled trains running through the countryside between Alton and Alresford.
  • D. Carmelit underground funicular chosen
    The Carmelit underground funicular is a short, steep underground railway in Haifa, Israel, serving as one of the world’s smallest metro systems and connecting the city’s lower and upper areas.
  • E. Tram 18
    Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa900a0819095eeb1bc46b0336e completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac880f50819080011aef63f48dc8 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:16 p.m.