Triple
T290574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orpington |
E5981
|
entity |
| Predicate | hasBusServicesTo |
P3791
|
FINISHED |
| Object |
Bluewater
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
|
E37713
|
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: Bluewater | Statement: [Orpington, hasBusServicesTo, Bluewater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bluewater Context triple: [Orpington, hasBusServicesTo, Bluewater]
-
A.
Calypso Deep
Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
-
B.
The Icebergs
The Icebergs is a monumental 1861 landscape painting by American artist Frederic Edwin Church, renowned for its dramatic, highly detailed depiction of Arctic ice formations and sublime natural grandeur.
-
C.
Paradise Bay
Paradise Bay is a scenic natural harbor on the Antarctic Peninsula known for its dramatic ice-clad mountains, glaciers, and use as a site for research stations and expedition cruises.
-
D.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
-
E.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
- 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: Bluewater Triple: [Orpington, hasBusServicesTo, Bluewater]
Generated description
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bluewater Target entity description: Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
-
A.
Calypso Deep
Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
-
B.
The Icebergs
The Icebergs is a monumental 1861 landscape painting by American artist Frederic Edwin Church, renowned for its dramatic, highly detailed depiction of Arctic ice formations and sublime natural grandeur.
-
C.
Paradise Bay
Paradise Bay is a scenic natural harbor on the Antarctic Peninsula known for its dramatic ice-clad mountains, glaciers, and use as a site for research stations and expedition cruises.
-
D.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
-
E.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a260d21e5881909f3baba8b8dfff92 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a33be60481908016ef90c44498a7 |
completed | March 1, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69a3a4068610819086b8a58a0a9198b7 |
completed | March 1, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a49050ec8190b81afc1407187e3f |
completed | March 1, 2026, 2:29 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.