Triple

T903753
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Tramway E19501 entity
Predicate hasRoute P4374 FINISHED
Object Route 15E
Route 15E is a popular Lisbon tram line known for connecting the city center with the Belém district and its major historical attractions.
 E108958 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: Route 15E | Statement: [Lisbon Tramway, hasRoute, Route 15E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 15E
Context triple: [Lisbon Tramway, hasRoute, Route 15E]
  • A. Route 12E
    Route 12E is a historic Lisbon tram line known for its short, scenic loop through the city’s old quarters in traditional yellow trams.
  • B. Route 107
    Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
  • C. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • D. Route 11
    Route 11 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s southwestern neighborhoods.
  • E. Route 16
    Route 16 is a major east–west state highway in Massachusetts that connects several cities and towns in the Greater Boston area.
  • 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: Route 15E
Triple: [Lisbon Tramway, hasRoute, Route 15E]
Generated description
Route 15E is a popular Lisbon tram line known for connecting the city center with the Belém district and its major historical attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 15E
Target entity description: Route 15E is a popular Lisbon tram line known for connecting the city center with the Belém district and its major historical attractions.
  • A. Route 12E
    Route 12E is a historic Lisbon tram line known for its short, scenic loop through the city’s old quarters in traditional yellow trams.
  • B. Route 107
    Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
  • C. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • D. Route 11
    Route 11 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s southwestern neighborhoods.
  • E. Route 16
    Route 16 is a major east–west state highway in Massachusetts that connects several cities and towns in the Greater Boston area.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad58334881908df191140b786780 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5a4118819086035d6e250a53cc completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d082b4388190bcf04692c273e5cc completed March 4, 2026, 6:26 a.m.
NED2 Entity disambiguation (via description) batch_69a7d49784d08190b334de4fe634f1c6 completed March 4, 2026, 6:43 a.m.
Created at: March 1, 2026, 7:39 p.m.