Triple
T10016003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler County, Alabama |
E199494
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Wald, Alabama
Wald, Alabama is a small unincorporated community located in Butler County in the south-central region of the state.
|
E848277
|
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: Wald, Alabama | Statement: [Butler County, Alabama, hasSettlement, Wald, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wald, Alabama Context triple: [Butler County, Alabama, hasSettlement, Wald, Alabama]
-
A.
Waverly, Alabama
Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
-
B.
Waugh, Alabama
Waugh, Alabama is an unincorporated community in Montgomery County known for its rural character and location along U.S. Route 80 east of Montgomery.
-
C.
Webb, Alabama
Webb, Alabama is a small town located in southeastern Alabama within the Dothan metropolitan area.
-
D.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
-
E.
Winfield, Alabama
Winfield, Alabama is a small city in northwestern Alabama known for its tight-knit community and annual Mule Day festival.
- 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: Wald, Alabama Triple: [Butler County, Alabama, hasSettlement, Wald, Alabama]
Generated description
Wald, Alabama is a small unincorporated community located in Butler County in the south-central region of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wald, Alabama Target entity description: Wald, Alabama is a small unincorporated community located in Butler County in the south-central region of the state.
-
A.
Waverly, Alabama
Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
-
B.
Waugh, Alabama
Waugh, Alabama is an unincorporated community in Montgomery County known for its rural character and location along U.S. Route 80 east of Montgomery.
-
C.
Webb, Alabama
Webb, Alabama is a small town located in southeastern Alabama within the Dothan metropolitan area.
-
D.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
-
E.
Winfield, Alabama
Winfield, Alabama is a small city in northwestern Alabama known for its tight-knit community and annual Mule Day festival.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354d7202c81908d42107c346900dc |
completed | April 6, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d35678f87c819080e0c66e86745f80 |
completed | April 6, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d356d0386481909dbfc3d907f5de18 |
completed | April 6, 2026, 6:46 a.m. |
Created at: March 30, 2026, 8:52 p.m.