Triple
T3551399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isleworth |
E75117
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Thornbury Park |
E188440
|
NE FINISHED |
How this triple was built (2 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: Thornbury Park | Statement: [Isleworth, hasGreenSpace, Thornbury Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thornbury Park Context triple: [Isleworth, hasGreenSpace, Thornbury Park]
-
A.
Thornbury Park
chosen
Thornbury Park is a public green space located in Isleworth in the historic county of Middlesex, England.
-
B.
Thornes Park
Thornes Park is a large public park in Wakefield, West Yorkshire, known for its open green spaces, sports facilities, and leisure amenities.
-
C.
Thornton Heath
Thornton Heath is a diverse residential district in South London known for its vibrant multicultural community and strong transport links into central London.
-
D.
Burgess Park
Burgess Park is a central community park in Menlo Park, California, featuring sports facilities, recreational areas, and public gathering spaces.
-
E.
Rushmere
Rushmere is a village and civil parish located in the English county of Suffolk.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd52f44819088e07139fe987e2a |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402dfb0688190a65b41c8dc13ee97 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:20 p.m.