Triple
T2302964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trambesòs |
E51772
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
T5
T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
|
E253348
|
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: T5 | Statement: [Trambesòs, hasLine, T5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T5 Context triple: [Trambesòs, hasLine, T5]
-
A.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
B.
T5
T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
E.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
- 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: T5 Triple: [Trambesòs, hasLine, T5]
Generated description
T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T5 Target entity description: T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
-
A.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
B.
T5
T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
E.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5f101dc8190824346e6ae564e51 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f332e788190b1dd4b8b0bbfe5d7 |
completed | March 9, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69ae802a066881909aa4e7b00e29306f |
completed | March 9, 2026, 8:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae80c37ff48190a24b7806320ebc00 |
completed | March 9, 2026, 8:11 a.m. |
Created at: March 4, 2026, 7:49 p.m.