Triple

T15831183
Position Surface form Disambiguated ID Type / Status
Subject Lyon bus network E383874 entity
Predicate primaryTicketType P28113 FINISHED
Object TCL day pass
TCL day pass is a public transport ticket in Lyon that allows unlimited travel on the city’s bus, tram, and metro network for a single day.
E487753 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: TCL day pass | Statement: [Lyon bus network, primaryTicketType, TCL day pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCL day pass
Context triple: [Lyon bus network, primaryTicketType, TCL day pass]
  • A. TCL fare system
    The TCL fare system is the integrated public transport ticketing and pricing network used across Lyon’s buses, trams, and metro services.
  • B. TCL
    TCL is the FAA location identifier code for Tuscaloosa National Airport in Tuscaloosa, Alabama.
  • C. TCL
    TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • D. Telepass
    Telepass is an Italian electronic toll collection system that allows drivers to pay motorway and other transport-related fees automatically without stopping at toll booths.
  • E. TCL bus network
    The TCL bus network is the public bus system serving Lyon and its surrounding metropolitan area in France.
  • 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: TCL day pass
Triple: [Lyon bus network, primaryTicketType, TCL day pass]
Generated description
TCL day pass is a public transport ticket in Lyon that allows unlimited travel on the city’s bus, tram, and metro network for a single day.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TCL day pass
Target entity description: TCL day pass is a public transport ticket in Lyon that allows unlimited travel on the city’s bus, tram, and metro network for a single day.
  • A. TCL fare system chosen
    The TCL fare system is the integrated public transport ticketing and pricing network used across Lyon’s buses, trams, and metro services.
  • B. TCL
    TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • C. TCL
    TCL is the FAA location identifier code for Tuscaloosa National Airport in Tuscaloosa, Alabama.
  • D. Telepass
    Telepass is an Italian electronic toll collection system that allows drivers to pay motorway and other transport-related fees automatically without stopping at toll booths.
  • E. TCL bus network
    The TCL bus network is the public bus system serving Lyon and its surrounding metropolitan area in France.
  • F. None of above.

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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e0e1cc8190851b30b03cf9c9b8 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999f9ccc8190bc859c2b78a16baf completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9bf7363c8190a65798028305b1da completed May 9, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69ff9c580d608190a7b3de11a924cba7 completed May 9, 2026, 8:43 p.m.
Created at: April 10, 2026, 4:49 a.m.