Triple
T14170746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester River |
E351198
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Langford Creek
Langford Creek is a tributary stream feeding into Maryland’s Chester River on the Eastern Shore of the Chesapeake Bay.
|
E1425243
|
NE FINISHED |
How this triple was built (4 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: Langford Creek | Statement: [Chester River, hasTributary, Langford Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langford Creek Context triple: [Chester River, hasTributary, Langford Creek]
-
A.
Langhorne Creek
Langhorne Creek is a renowned South Australian wine region known for its premium red wines, particularly Shiraz and Cabernet Sauvignon.
-
B.
Fairview Creek
Fairview Creek is a small waterway in the Portland metropolitan area of Oregon that flows through the city of Gresham and into Fairview Lake.
-
C.
Rawdon Creek
Rawdon Creek is a smaller watercourse in Ontario, Canada, that feeds into the Trent River as part of its watershed system.
-
D.
Haymarsh Creek
Haymarsh Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
-
E.
Fenwick Creek
Fenwick Creek is a small waterway in Salem County, New Jersey, that flows through the city of Salem and contributes to its local watershed and landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Langford Creek Triple: [Chester River, hasTributary, Langford Creek]
Generated description
Langford Creek is a tributary stream feeding into Maryland’s Chester River on the Eastern Shore of the Chesapeake Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langford Creek Target entity description: Langford Creek is a tributary stream feeding into Maryland’s Chester River on the Eastern Shore of the Chesapeake Bay.
-
A.
Langhorne Creek
Langhorne Creek is a renowned South Australian wine region known for its premium red wines, particularly Shiraz and Cabernet Sauvignon.
-
B.
Fairview Creek
Fairview Creek is a small waterway in the Portland metropolitan area of Oregon that flows through the city of Gresham and into Fairview Lake.
-
C.
Rawdon Creek
Rawdon Creek is a smaller watercourse in Ontario, Canada, that feeds into the Trent River as part of its watershed system.
-
D.
Haymarsh Creek
Haymarsh Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
-
E.
Fenwick Creek
Fenwick Creek is a small waterway in Salem County, New Jersey, that flows through the city of Salem and contributes to its local watershed and landscape.
- F. None of above. chosen
Provenance (5 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08693797cc8190a9718a377734c897 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869e2a80481909105005195330dc9 |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6812a08190b4594fa9b6054355 |
completed | May 16, 2026, 1 p.m. |
Created at: April 10, 2026, 1:01 a.m.