Triple
T903752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon Tramway |
E19501
|
entity |
| Predicate | hasRoute |
P4374
|
FINISHED |
| Object |
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.
|
E106469
|
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 12E | Statement: [Lisbon Tramway, hasRoute, Route 12E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 12E Context triple: [Lisbon Tramway, hasRoute, Route 12E]
-
A.
Route 129
Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
-
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 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.
-
D.
Route 13
Route 13 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and neighborhoods to the southwest.
-
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 12E Triple: [Lisbon Tramway, hasRoute, Route 12E]
Generated description
Route 12E is a historic Lisbon tram line known for its short, scenic loop through the city’s old quarters in traditional yellow trams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Route 12E Target entity description: Route 12E is a historic Lisbon tram line known for its short, scenic loop through the city’s old quarters in traditional yellow trams.
-
A.
Route 129
Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
-
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 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.
-
D.
Route 13
Route 13 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and neighborhoods to the southwest.
-
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_69a7c736bb6c8190a9cad1ef536be785 |
completed | March 4, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_69a7c7a5f03c81908bd3ed9eb3710141 |
completed | March 4, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c888cd98819082dc39739d14dc67 |
completed | March 4, 2026, 5:52 a.m. |
Created at: March 1, 2026, 7:39 p.m.