Triple
T13218088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouge River |
E314673
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Rouge Park |
E565593
|
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: Rouge Park | Statement: [Rouge River, passesThrough, Rouge Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rouge Park Context triple: [Rouge River, passesThrough, Rouge Park]
-
A.
Rouge Park
Rouge Park is a residential neighbourhood in the city of Pickering, Ontario, located near the Rouge National Urban Park and the eastern edge of the Greater Toronto Area.
-
B.
Rouge Park
chosen
Rouge Park is a large urban green space in Detroit known for its natural woodlands, trails, and recreational facilities along the Rouge River.
-
C.
Kalorama Park
Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
-
D.
Seka Park
Seka Park is a large coastal urban park and recreational area in İzmit, Turkey, known for its green spaces, walking paths, and cultural facilities along the Gulf of İzmit.
-
E.
Tei Park
Tei Park is a public park located in Sector 2 of Bucharest, Romania, known for its green spaces and recreational areas.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.