Triple
T17788702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellingham |
E444091
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object |
Bellingham Green
Bellingham Green is a public green space in Bellingham, London, serving as a local park and community gathering area for residents.
|
E1288170
|
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: Bellingham Green | Statement: [Bellingham, hasGreenSpace, Bellingham Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellingham Green Context triple: [Bellingham, hasGreenSpace, Bellingham Green]
-
A.
Bellingham Square
Bellingham Square is a central transit and commercial hub in Chelsea, Massachusetts, serving as a key stop for MBTA bus and other public transportation services.
-
B.
Berkeley Green
Berkeley Green is a small public park and community gathering space located in the village center of Saranac Lake, New York.
-
C.
Edmonton Green
Edmonton Green is a major shopping, residential, and transport hub in the Edmonton area of north London.
-
D.
Turnham Green
Turnham Green is an area in west London, England, known historically as a village green and now as a residential district within the London Borough of Hounslow.
-
E.
Baddeley Green
Baddeley Green is a residential suburb in the city of Stoke-on-Trent, Staffordshire, England.
- 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: Bellingham Green Triple: [Bellingham, hasGreenSpace, Bellingham Green]
Generated description
Bellingham Green is a public green space in Bellingham, London, serving as a local park and community gathering area for residents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bellingham Green Target entity description: Bellingham Green is a public green space in Bellingham, London, serving as a local park and community gathering area for residents.
-
A.
Bellingham Square
Bellingham Square is a central transit and commercial hub in Chelsea, Massachusetts, serving as a key stop for MBTA bus and other public transportation services.
-
B.
Berkeley Green
Berkeley Green is a small public park and community gathering space located in the village center of Saranac Lake, New York.
-
C.
Edmonton Green
Edmonton Green is a major shopping, residential, and transport hub in the Edmonton area of north London.
-
D.
Turnham Green
Turnham Green is an area in west London, England, known historically as a village green and now as a residential district within the London Borough of Hounslow.
-
E.
Baddeley Green
Baddeley Green is a residential suburb in the city of Stoke-on-Trent, Staffordshire, England.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879524bc819090855ab5248c73db |
completed | April 19, 2026, 7:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f835db9481909d314c17a7c59952 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f89a1cf88190bdd2b80c14e6134a |
completed | May 12, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f96e4c5c8190a42f2f11574df421 |
completed | May 12, 2026, 9:57 a.m. |
Created at: April 10, 2026, 10:12 a.m.