Triple
T16857183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exmouth Market |
E409814
|
entity |
| Predicate | transportNearby |
P5822
|
FINISHED |
| Object |
Angel station
Angel station is a London Underground station in Islington, known for serving the Northern line and its notably long escalators.
|
E1236394
|
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: Angel station | Statement: [Exmouth Market, transportNearby, Angel station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel station Context triple: [Exmouth Market, transportNearby, Angel station]
-
A.
Joanic station
Joanic station is an underground Barcelona Metro stop in the Gràcia district, serving passengers on the city’s Line 4.
-
B.
Central Station
Central Station was the original name of Lisbon’s historic Rossio railway station, a key 19th-century rail hub known for its distinctive Neo-Manueline architecture.
-
C.
Central Station
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
-
D.
Central Station
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
E.
Central Station
Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
- 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: Angel station Triple: [Exmouth Market, transportNearby, Angel station]
Generated description
Angel station is a London Underground station in Islington, known for serving the Northern line and its notably long escalators.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angel station Target entity description: Angel station is a London Underground station in Islington, known for serving the Northern line and its notably long escalators.
-
A.
Joanic station
Joanic station is an underground Barcelona Metro stop in the Gràcia district, serving passengers on the city’s Line 4.
-
B.
Central Station
Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
-
C.
Central Station
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
-
D.
Central Station
Central Station was the original name of Lisbon’s historic Rossio railway station, a key 19th-century rail hub known for its distinctive Neo-Manueline architecture.
-
E.
Central Station
Central Station is Sydney’s largest and busiest railway hub, serving as a major interchange for suburban, intercity, and light rail services.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37e34b88190bb4468424e2edf2d |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb2337348190ae79dc4b188c94cf |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbe7e4c4819081d0bfd1ac427c49 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc73e4e88190a8327ba48174f923 |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.