Triple
T6253261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TW postcode area |
E140097
|
entity |
| Predicate | coversTown |
P847
|
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: [TW postcode area, coversTown, Syon Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syon Park Context triple: [TW postcode area, coversTown, 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.
Seel Park
Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
-
E.
Ghiloni Park
Ghiloni Park is a large public recreational area in Marlborough, Massachusetts, featuring walking trails, sports fields, playgrounds, and natural open spaces.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063417c8c8190945049881819d307 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2442a556081908b91e7d999a82514 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.