Triple
T407203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcelona |
E9407
|
entity |
| Predicate | hasPublicTransportSystem |
P474
|
FINISHED |
| Object |
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
|
E51772
|
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: Trambesòs | Statement: [Barcelona, hasPublicTransportSystem, Trambesòs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trambesòs Context triple: [Barcelona, hasPublicTransportSystem, Trambesòs]
-
A.
Trambaix
Trambaix is a modern tram network serving the metropolitan area of Barcelona, particularly its western suburbs and nearby municipalities.
-
B.
Boyeros
Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
-
C.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
D.
Ballasalla
Ballasalla is a small village on the Isle of Man, known for its historic Rushen Abbey and proximity to the island’s former capital, Castletown.
-
E.
Quarteira
Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
- 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: Trambesòs Triple: [Barcelona, hasPublicTransportSystem, Trambesòs]
Generated description
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trambesòs Target entity description: Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
-
A.
Trambaix
Trambaix is a modern tram network serving the metropolitan area of Barcelona, particularly its western suburbs and nearby municipalities.
-
B.
Boyeros
Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
-
C.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
D.
Ballasalla
Ballasalla is a small village on the Isle of Man, known for its historic Rushen Abbey and proximity to the island’s former capital, Castletown.
-
E.
Quarteira
Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbd766c8190bb8a91605929156a |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4177659408190807396f029f3e4e6 |
completed | March 1, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69a417d8d8ac8190b9e36238b7bd9132 |
completed | March 1, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4184c1b1c8190b728a2ef5cdc8346 |
completed | March 1, 2026, 10:43 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.