Triple
T23409752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monett, Missouri |
E560033
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Kelly Creek
Kelly Creek is a waterway in Missouri that runs through or alongside the city of Monett.
|
E1586068
|
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: Kelly Creek | Statement: [Monett, Missouri, locatedOn, Kelly Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Creek Context triple: [Monett, Missouri, locatedOn, Kelly Creek]
-
A.
Christopher Creek
Christopher Creek is a small unincorporated community and scenic mountain stream area in central Arizona known for its outdoor recreation, forests, and proximity to the Mogollon Rim.
-
B.
Painter Creek
Painter Creek is a small stream in Minnesota that serves as one of the tributaries feeding into Lake Minnetonka.
-
C.
Camp Creek
Camp Creek is a stream in southern West Virginia that flows through and gives its name to Camp Creek State Park.
-
D.
Morgan’s Creek
Morgan’s Creek is the fictional small-town setting of Preston Sturges’s 1944 screwball comedy film "The Miracle of Morgan’s Creek."
-
E.
Lavender Creek
Lavender Creek is a smaller stream or river that feeds into Black Creek as one of its tributaries.
- 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: Kelly Creek Triple: [Monett, Missouri, locatedOn, Kelly Creek]
Generated description
Kelly Creek is a waterway in Missouri that runs through or alongside the city of Monett.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kelly Creek Target entity description: Kelly Creek is a waterway in Missouri that runs through or alongside the city of Monett.
-
A.
Christopher Creek
Christopher Creek is a small unincorporated community and scenic mountain stream area in central Arizona known for its outdoor recreation, forests, and proximity to the Mogollon Rim.
-
B.
Painter Creek
Painter Creek is a small stream in Minnesota that serves as one of the tributaries feeding into Lake Minnetonka.
-
C.
Camp Creek
Camp Creek is a stream in southern West Virginia that flows through and gives its name to Camp Creek State Park.
-
D.
Morgan’s Creek
Morgan’s Creek is the fictional small-town setting of Preston Sturges’s 1944 screwball comedy film "The Miracle of Morgan’s Creek."
-
E.
Lavender Creek
Lavender Creek is a smaller stream or river that feeds into Black Creek as one of its tributaries.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a510b3848190ae42679ef0bcd424 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c679958f4819087da6c499161219a |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c7213e19881909151fe5c0560e096 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76e904b08190a5329a3ed56291dc |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:38 p.m.