Triple

T3784167
Position Surface form Disambiguated ID Type / Status
Subject CDGVAL E85488 entity
Predicate line P1293 FINISHED
Object LISA line
The LISA line is a route of the CDGVAL automated people mover system serving Paris Charles de Gaulle Airport.
 E388211 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: LISA line | Statement: [CDGVAL, line, LISA line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LISA line
Context triple: [CDGVAL, line, LISA line]
  • A. Y Line
    Y Line is the common abbreviation for the Osaka Metro Yotsubashi Line, a rapid transit line serving central Osaka, Japan.
  • B. C Line
    The C Line is a light rail route in the Los Angeles Metro Rail system that runs primarily along the I-105 freeway corridor, connecting coastal and inland communities in the South Bay region.
  • C. G line
    The G line is a New York City Subway service that runs entirely in Brooklyn and Queens, connecting neighborhoods such as Park Slope without entering Manhattan.
  • D. LIRA
    LIRA is the ICAO airport code for Ciampino–G. B. Pastine International Airport serving Rome, Italy.
  • E. Lisan
    Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
  • 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: LISA line
Triple: [CDGVAL, line, LISA line]
Generated description
The LISA line is a route of the CDGVAL automated people mover system serving Paris Charles de Gaulle Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LISA line
Target entity description: The LISA line is a route of the CDGVAL automated people mover system serving Paris Charles de Gaulle Airport.
  • A. Y Line
    Y Line is the common abbreviation for the Osaka Metro Yotsubashi Line, a rapid transit line serving central Osaka, Japan.
  • B. C Line
    The C Line is a light rail route in the Los Angeles Metro Rail system that runs primarily along the I-105 freeway corridor, connecting coastal and inland communities in the South Bay region.
  • C. G line
    The G line is a New York City Subway service that runs entirely in Brooklyn and Queens, connecting neighborhoods such as Park Slope without entering Manhattan.
  • D. LIRA
    LIRA is the ICAO airport code for Ciampino–G. B. Pastine International Airport serving Rome, Italy.
  • E. Lisan
    Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dc6590819098dda08206206612 completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04747448190be484cda5b2a7a8c completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f1730bbc8190a2f5f70ebc5a528a completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f2538eac81908a6c85ddab4e2356 completed March 14, 2026, 5:29 a.m.
Created at: March 9, 2026, 3:13 p.m.