Triple
T9874968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caloosahatchee River |
E240050
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Alva
Alva is a small unincorporated community in Lee County, Florida, known for its historic rural character along the Caloosahatchee River.
|
E826726
|
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: Alva | Statement: [Caloosahatchee River, passesThrough, Alva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alva Context triple: [Caloosahatchee River, passesThrough, Alva]
-
A.
Alva
Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
-
B.
Alva
Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
-
C.
Alva
Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
-
D.
Dalva
Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
-
E.
Arleta
Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
- 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: Alva Triple: [Caloosahatchee River, passesThrough, Alva]
Generated description
Alva is a small unincorporated community in Lee County, Florida, known for its historic rural character along the Caloosahatchee River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alva Target entity description: Alva is a small unincorporated community in Lee County, Florida, known for its historic rural character along the Caloosahatchee River.
-
A.
Alva
Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
-
B.
Alva
Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
-
C.
Alva
Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
-
D.
Dalva
Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
-
E.
Arleta
Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3f9d82c81908afb4977ce4e3e4a |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e47515788190b6644021e187e771 |
completed | April 5, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69d1e57366748190bf617374264d1873 |
completed | April 5, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e5ed9818819095119c3478f97419 |
completed | April 5, 2026, 4:32 a.m. |
Created at: March 30, 2026, 8:37 p.m.