Triple
T15393653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syon House |
E368112
|
entity |
| Predicate | partOf |
P40
|
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: [Syon House, partOf, Syon Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syon Park Context triple: [Syon House, partOf, 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.
Baglan Park
Baglan Park is a public recreational green space serving the community of Baglan in Neath Port Talbot, Wales.
-
D.
Sulman Park
Sulman Park is a high-speed, uphill section of the Mount Panorama Circuit in Bathurst, Australia, known for its challenging blind crest and dramatic elevation change.
-
E.
Seel Park
Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1350699c8190acf7830d88455851 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.