Triple
T21937690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehkummah Township |
E541736
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Silver Water |
E622451
|
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: Silver Water | Statement: [Tehkummah Township, hasSettlement, Silver Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Water Context triple: [Tehkummah Township, hasSettlement, Silver Water]
-
A.
Silver Water
chosen
Silver Water is a small rural community located within the township of Tehkummah on Manitoulin Island in Ontario, Canada.
-
B.
Silver Waterfalls
Silver Waterfalls is a scenic waterfall feature associated with the Superstition region, known for its striking natural beauty and rugged desert-mountain surroundings.
-
C.
Sweet Water
Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
-
D.
Yellow Water
Yellow Water is a renowned wetland and billabong area in Australia’s Kakadu National Park, famous for its rich wildlife and scenic boat cruises.
-
E.
Old Water
Old Water is a minor river in northern England that serves as one of the tributaries feeding into the River Eden.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241e35bc81909eb3225d5cd97b92 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60eaa1248190b90c304bbd673c54 |
completed | May 18, 2026, 12:44 a.m. |
Created at: April 16, 2026, 7:55 p.m.