Triple
T2796089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muddy River |
E53039
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Riverway |
E4308
|
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: Riverway | Statement: [Muddy River, flowsThrough, Riverway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riverway Context triple: [Muddy River, flowsThrough, Riverway]
-
A.
Riverway
chosen
Riverway is a linear park and waterway in Boston that forms part of the Emerald Necklace, offering scenic green space and recreational paths near the Longwood Medical Area.
-
B.
River Westend
River Westend is a small river in Derbyshire, England, that flows through the Peak District and feeds into the River Derwent.
-
C.
Riverview
Riverview is a suburban town located across the Petitcodiac River from Moncton in southeastern New Brunswick, Canada.
-
D.
River Grove
River Grove is a suburban village in Cook County, Illinois, located near Chicago and served by commuter rail transit.
-
E.
Riverbank
Riverbank is a small city in California’s Central Valley known for its agricultural surroundings and suburban residential character.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddef754081908e6218dc2208e0fd |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6646c2c81908157d8f03cb8376d |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.