Triple
T1316044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambers County, Alabama |
E28104
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Waverly, Alabama
Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
|
E296726
|
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: Waverly, Alabama | Statement: [Chambers County, Alabama, hasTown, Waverly, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waverly, Alabama Context triple: [Chambers County, Alabama, hasTown, Waverly, Alabama]
-
A.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
B.
Wilton, Alabama
Wilton, Alabama is a small town located in Shelby County in the central part of the state.
-
C.
Townley, Alabama
Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
-
D.
Vincent, Alabama
Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
-
E.
Fairfield, Alabama
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
- 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: Waverly, Alabama Triple: [Chambers County, Alabama, hasTown, Waverly, Alabama]
Generated description
Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waverly, Alabama Target entity description: Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
-
A.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
B.
Wilton, Alabama
Wilton, Alabama is a small town located in Shelby County in the central part of the state.
-
C.
Townley, Alabama
Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
-
D.
Vincent, Alabama
Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
-
E.
Fairfield, Alabama
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c173a72481909a820d6da6ef9e69 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc00ddbf48190866fb79b4b4a2857 |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc071e5e88190b353ed29d98d347f |
completed | March 10, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc133f8088190bd505db0d0d1d6f7 |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 1, 2026, 7:55 p.m.