Triple
T9985597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RNP |
E196559
|
entity |
| Predicate | hasMajorCommunity |
P2321
|
FINISHED |
| Object | Deep River |
E636516
|
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: Deep River | Statement: [RNP, hasMajorCommunity, Deep River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep River Context triple: [RNP, hasMajorCommunity, Deep River]
-
A.
Deep River
Deep River is a significant waterway in central North Carolina that flows through several counties and contributes to the Cape Fear River basin.
-
B.
Deep River
chosen
Deep River is a small Canadian town in Ontario’s Ottawa Valley, known for its scenic location along the Ottawa River and its historical ties to the nearby Chalk River nuclear research facilities.
-
C.
Deep River
Deep River is a waterway in northwestern Indiana that flows through Lake County and serves as a tributary of the Little Calumet River.
-
D.
Deep River
Deep River is a small rural city located in Poweshiek County in the state of Iowa, United States.
-
E.
Haine River
The Haine River is a waterway in western Belgium and northern France that flows through the province of Hainaut before joining the Scheldt River.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79af13c81909349ae0b0d5da946 |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998671c1c8190be2012a3faf6ba35 |
completed | April 11, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:49 p.m.