Triple
T3019312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brentford Dock |
E82413
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Syon Park |
E87346
|
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: Syon Park | Statement: [Brentford Dock, near, Syon Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syon Park Context triple: [Brentford Dock, near, Syon Park]
-
A.
Syon Park
chosen
Syon Park is a historic estate in west London known for its grand house, extensive gardens, and riverside parkland along the Thames.
-
B.
Brandon Park
Brandon Park is a public recreational park located in Williamsport, Pennsylvania, featuring open green spaces, walking paths, and community amenities.
-
C.
Seel Park
Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
-
D.
Monrepos Park
Monrepos Park is a historic landscape park and former manor estate on an island in Vyborg, Russia, known for its romantic rocky scenery and picturesque views of the Gulf of Finland.
-
E.
Topstone Park
Topstone Park is a natural recreational area in Redding, Connecticut, known for its wooded trails, swimming pond, and outdoor activities.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a927b608190ba1392498507b237 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8663fb881909d7c179f4f61d313 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3 p.m.