Triple
T5251132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prowers County, Colorado |
E118588
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
Prowers
Prowers is the vehicle registration code used to identify motor vehicles registered in Prowers County, Colorado.
|
E507162
|
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: Prowers | Statement: [Prowers County, Colorado, vehicleRegistrationCode, Prowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prowers Context triple: [Prowers County, Colorado, vehicleRegistrationCode, Prowers]
-
A.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
B.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
C.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
D.
Evarts
Evarts is a surname most notably associated with William M. Evarts, a prominent 19th-century American lawyer, statesman, and U.S. Secretary of State.
-
E.
Daggett
Daggett is a small unincorporated desert community in San Bernardino County, California, historically known as a railroad and mining town along major transportation routes.
- 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: Prowers Triple: [Prowers County, Colorado, vehicleRegistrationCode, Prowers]
Generated description
Prowers is the vehicle registration code used to identify motor vehicles registered in Prowers County, Colorado.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prowers Target entity description: Prowers is the vehicle registration code used to identify motor vehicles registered in Prowers County, Colorado.
-
A.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
B.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
C.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
D.
Evarts
Evarts is a surname most notably associated with William M. Evarts, a prominent 19th-century American lawyer, statesman, and U.S. Secretary of State.
-
E.
Daggett
Daggett is a small unincorporated desert community in San Bernardino County, California, historically known as a railroad and mining town along major transportation routes.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b7b840881908bb1ecb8a0047382 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7005308190a659efbd779c314b |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff4322308190b252820e7213f05e |
completed | March 21, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beffe02d208190b857d6aaa4d85dae |
completed | March 21, 2026, 8:30 p.m. |
Created at: March 20, 2026, 1:50 p.m.