Triple

T903755
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Tramway E19501 entity
Predicate hasRoute P4374 FINISHED
Object Route 24E
Route 24E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through central neighborhoods.
 E110832 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 24E | Statement: [Lisbon Tramway, hasRoute, Route 24E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 24E
Context triple: [Lisbon Tramway, hasRoute, Route 24E]
  • 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 18E
    Route 18E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through traditional neighborhoods.
  • C. Route 28
    Route 28 is a major north–south state highway in Massachusetts that runs from the Cape Cod area through Boston and into New Hampshire, serving as a key regional arterial road.
  • D. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • E. 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.
  • 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 24E
Triple: [Lisbon Tramway, hasRoute, Route 24E]
Generated description
Route 24E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through central neighborhoods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 24E
Target entity description: Route 24E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through central neighborhoods.
  • 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 18E
    Route 18E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through traditional neighborhoods.
  • C. Route 28
    Route 28 is a major north–south state highway in Massachusetts that runs from the Cape Cod area through Boston and into New Hampshire, serving as a key regional arterial road.
  • D. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • E. 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.
  • 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_69a826d6781081908a59c0263515bbc8 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a834246eec8190977b2d3747fa1e9d completed March 4, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69a834a0e6748190aa1c488a46f35df2 completed March 4, 2026, 1:33 p.m.
Created at: March 1, 2026, 7:39 p.m.