Triple
T7336074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moapa Valley |
E169129
|
entity |
| Predicate | waterSource |
P4102
|
FINISHED |
| Object | Muddy River |
E819151
|
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: Muddy River | Statement: [Moapa Valley, waterSource, Muddy River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muddy River Context triple: [Moapa Valley, waterSource, Muddy River]
-
A.
Muddy River
The Muddy River is a small urban waterway in Boston and Brookline, Massachusetts, that forms a key component of Frederick Law Olmsted’s Emerald Necklace park system.
-
B.
Muddy River
Muddy River is a smaller waterway in Connecticut that feeds into the Quinnipiac River as part of its watershed system.
-
C.
Muddy River
chosen
The Muddy River is a small but significant river in southeastern Nevada that flows through the Moapa Valley and ultimately feeds into Lake Mead.
-
D.
Waters River
Waters River is a small waterway in Massachusetts that flows through the town of Danvers.
-
E.
Innerste River
The Innerste River is a tributary of the Leine in Lower Saxony, Germany, flowing through the Hildesheim region and contributing to the historic landscape around the city’s famed medieval churches.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0c51884819098fe00dd3d5e44b2 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c3ed827c8190899cb2ae9561765e |
completed | April 5, 2026, 2:07 a.m. |
Created at: March 27, 2026, 3:04 p.m.