Triple
T6410457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama's 3rd congressional district |
E127690
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Ashland, Alabama
Ashland, Alabama is a small city in Clay County that serves as the county seat and lies in east-central Alabama.
|
E643541
|
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: Ashland, Alabama | Statement: [Alabama's 3rd congressional district, containsCity, Ashland, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashland, Alabama Context triple: [Alabama's 3rd congressional district, containsCity, Ashland, Alabama]
-
A.
Ashville, Alabama
Ashville, Alabama is a small historic town in central Alabama that serves as one of the two county seats of St. Clair County.
-
B.
Ashland, Mississippi
Ashland, Mississippi is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
-
C.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
D.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
-
E.
Ensley, Alabama
Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
- 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: Ashland, Alabama Triple: [Alabama's 3rd congressional district, containsCity, Ashland, Alabama]
Generated description
Ashland, Alabama is a small city in Clay County that serves as the county seat and lies in east-central Alabama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashland, Alabama Target entity description: Ashland, Alabama is a small city in Clay County that serves as the county seat and lies in east-central Alabama.
-
A.
Ashville, Alabama
Ashville, Alabama is a small historic town in central Alabama that serves as one of the two county seats of St. Clair County.
-
B.
Ashland, Mississippi
Ashland, Mississippi is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
-
C.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
D.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
-
E.
Ensley, Alabama
Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a303b960819082981f0efbdce014 |
completed | March 28, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69c7a446c5088190908dd7b4cdc57f18 |
completed | March 28, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4fc9f788190b38437c6e91a5f8a |
completed | March 28, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:41 p.m.