Triple
T20767348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marengo County, Alabama |
E511131
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Dayton, Alabama
Dayton, Alabama is a small rural town located in Marengo County in the western part of the state.
|
E1449983
|
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: Dayton, Alabama | Statement: [Marengo County, Alabama, hasTown, Dayton, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dayton, Alabama Context triple: [Marengo County, Alabama, hasTown, Dayton, Alabama]
-
A.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
B.
Dickinson, Alabama
Dickinson, Alabama is a small unincorporated rural community located in Clarke County in the southwestern part of the state.
-
C.
Fairfield, Alabama
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
-
D.
Douglas, Alabama
Douglas, Alabama is a small rural town in northeastern Alabama known for its close-knit community and agricultural surroundings.
-
E.
Danville, Alabama
Danville, Alabama is an unincorporated rural community in northern Alabama known for its small-town character and location within the Huntsville-Decatur metropolitan area.
- 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: Dayton, Alabama Triple: [Marengo County, Alabama, hasTown, Dayton, Alabama]
Generated description
Dayton, Alabama is a small rural town located in Marengo County in the western part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dayton, Alabama Target entity description: Dayton, Alabama is a small rural town located in Marengo County in the western part of the state.
-
A.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
B.
Dickinson, Alabama
Dickinson, Alabama is a small unincorporated rural community located in Clarke County in the southwestern part of the state.
-
C.
Fairfield, Alabama
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
-
D.
Douglas, Alabama
Douglas, Alabama is a small rural town in northeastern Alabama known for its close-knit community and agricultural surroundings.
-
E.
Danville, Alabama
Danville, Alabama is an unincorporated rural community in northern Alabama known for its small-town character and location within the Huntsville-Decatur metropolitan area.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24df58c8190b37398353ce4bf24 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef8d27dc8190a6ae623f4bbe452e |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f28a96488190bf80089105facd0b |
completed | May 16, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f316e7988190920ec8eeb56e76a2 |
completed | May 16, 2026, 10:43 p.m. |
Created at: April 16, 2026, 12:36 p.m.