Triple
T2016206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge, Ontario |
E43999
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Speed River |
E398503
|
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: Speed River | Statement: [Cambridge, Ontario, locatedOnRiver, Speed River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speed River Context triple: [Cambridge, Ontario, locatedOnRiver, Speed River]
-
A.
Speed River
chosen
Speed River is a river in southwestern Ontario, Canada, that flows through the city of Guelph and is part of the Grand River watershed.
-
B.
Situk River
The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
-
C.
Day River
The Day River is a significant river in northern Vietnam that flows through several provinces, including Nam Dinh, and plays an important role in regional agriculture and water management.
-
D.
Nyari River
The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
-
E.
Bug River
The Bug River is a major river in Eastern Europe that flows through Poland, Belarus, and Ukraine, forming part of the border between Poland and Belarus.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8cb16048190bc626685fbb5f707 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b636e19cb081909b2e7866a8bb3338 |
completed | March 15, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:38 p.m.