Triple
T6603481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwick |
E149058
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object |
Southwick Green
Southwick Green is a central public green and recreational open space in the village of Southwick, West Sussex, England.
|
E616635
|
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: Southwick Green | Statement: [Southwick, hasGreenSpace, Southwick Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southwick Green Context triple: [Southwick, hasGreenSpace, Southwick Green]
-
A.
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
B.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
-
C.
Southwick Park
Southwick Park is a British military establishment in Hampshire that serves as the headquarters and training centre for the Royal Military Police.
-
D.
Hough Green
Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
-
E.
Langley Green
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, 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: Southwick Green Triple: [Southwick, hasGreenSpace, Southwick Green]
Generated description
Southwick Green is a central public green and recreational open space in the village of Southwick, West Sussex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Southwick Green Target entity description: Southwick Green is a central public green and recreational open space in the village of Southwick, West Sussex, England.
-
A.
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
B.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
-
C.
Southwick Park
Southwick Park is a British military establishment in Hampshire that serves as the headquarters and training centre for the Royal Military Police.
-
D.
Hough Green
Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
-
E.
Langley Green
Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af11f0788190be010c6ee60e150c |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70ae61a6481908158c3b7d58fd3ce |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70b83f24c819091a6a2a7802c830f |
completed | March 27, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70f676e408190bc85a2760446d5d1 |
completed | March 27, 2026, 11:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.