Triple
T5164312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTDC light rail vehicles |
E116512
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object |
UTDC ALRV
The UTDC ALRV is a Canadian-built articulated light rail vehicle model designed for high-capacity streetcar service, notably used by the Toronto Transit Commission.
|
E499966
|
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: UTDC ALRV | Statement: [UTDC light rail vehicles, hasModel, UTDC ALRV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UTDC ALRV Context triple: [UTDC light rail vehicles, hasModel, UTDC ALRV]
-
A.
TUDN
TUDN is a Spanish-language sports television network and media brand focused on soccer and other sports, primarily serving audiences in the United States and Mexico.
-
B.
ATLC
ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
-
C.
DUT
DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
-
D.
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
-
E.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
- 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: UTDC ALRV Triple: [UTDC light rail vehicles, hasModel, UTDC ALRV]
Generated description
The UTDC ALRV is a Canadian-built articulated light rail vehicle model designed for high-capacity streetcar service, notably used by the Toronto Transit Commission.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UTDC ALRV Target entity description: The UTDC ALRV is a Canadian-built articulated light rail vehicle model designed for high-capacity streetcar service, notably used by the Toronto Transit Commission.
-
A.
TUDN
TUDN is a Spanish-language sports television network and media brand focused on soccer and other sports, primarily serving audiences in the United States and Mexico.
-
B.
ATLC
ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
-
C.
DUT
DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
-
D.
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
-
E.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792936d48190825da8826448c1da |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed933abd88190981cb16189685b8f |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69beda793fbc819098386f6d7633df95 |
completed | March 21, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedadb77dc81909604133f25977f35 |
completed | March 21, 2026, 5:52 p.m. |
Created at: March 20, 2026, 1:44 p.m.