Triple

T13929001
Position Surface form Disambiguated ID Type / Status
Subject Paris Square station E334937 entity
Predicate line P1293 FINISHED
Object Carmelit line
The Carmelit line is a short underground funicular railway in Haifa, Israel, connecting several central city locations via a steep hillside route.
E1069822 NE FINISHED

How this triple was built (4 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: [Paris Square station, line, Carmelit line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmelit line
Context triple: [Paris Square station, line, Carmelit line]
  • A. Northern Line
    The Northern Line is a major commuter rail route in the Merseyrail network serving Liverpool and surrounding areas in North West England.
  • B. S4 Line
    The S4 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
  • C. 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.
  • D. 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.
  • E. S1 Line
    The S1 Line is a medium-capacity maglev rapid transit line in the Beijing Subway system serving the western suburbs of the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carmelit line
Triple: [Paris Square station, line, Carmelit line]
Generated description
The Carmelit line is a short underground funicular railway in Haifa, Israel, connecting several central city locations via a steep hillside route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carmelit line
Target entity description: The Carmelit line is a short underground funicular railway in Haifa, Israel, connecting several central city locations via a steep hillside route.
  • A. Northern Line
    The Northern Line is a major commuter rail route in the Merseyrail network serving Liverpool and surrounding areas in North West England.
  • B. S4 Line
    The S4 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
  • C. 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.
  • D. 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.
  • E. S1 Line
    The S1 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China, providing urban rail service along one of the city’s key corridors.
  • F. None of above. chosen

Provenance (5 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_69f7ce8262288190a7e6dd647b1917c1 completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd5b82f48190b0b89ddca25883cc completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69f9fea0a9dc8190b5b65dfec9626949 completed May 5, 2026, 2:28 p.m.
Created at: April 9, 2026, 10:16 p.m.