Triple

T13929023
Position Surface form Disambiguated ID Type / Status
Subject Gan HaEm station E334938 entity
Predicate line P1293 FINISHED
Object Carmelit line E1069822 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 line | Statement: [Gan HaEm station, line, Carmelit line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmelit line
Context triple: [Gan HaEm station, line, Carmelit line]
  • A. Carmelit line chosen
    The Carmelit line is a short underground funicular railway in Haifa, Israel, connecting several central city locations via a steep hillside route.
  • B. Northern Line
    The Northern Line is a major commuter rail route in the Merseyrail network serving Liverpool and surrounding areas in North West England.
  • C. S4 Line
    The S4 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
  • D. BMT Brighton Line
    The BMT Brighton Line is a major New York City Subway route in Brooklyn that connects Brighton Beach and other southern neighborhoods to central Brooklyn and Manhattan.
  • E. Riverside Line
    The Riverside Line is a Metrolink commuter rail route in Southern California that connects Los Angeles with cities in the Inland Empire, including Riverside.
  • 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_69fba1c67e2c8190a14b273af0d93b0a completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.