Triple
T820608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
Chilton County
Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
|
E178380
|
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: Chilton County | Statement: [Alabama, containsCounty, Chilton County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chilton County Context triple: [Alabama, containsCounty, Chilton County]
-
A.
Blount County
Blount County is a county in eastern Tennessee known for encompassing part of the Great Smoky Mountains and serving as a suburban and recreational area near Knoxville.
-
B.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
C.
Effingham County
Effingham County is a county in southeastern Georgia known for its historic communities, proximity to Savannah, and role as part of the state’s coastal region.
-
D.
Crisp County
Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
-
E.
Toombs County
Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
- 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: Chilton County Triple: [Alabama, containsCounty, Chilton County]
Generated description
Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chilton County Target entity description: Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
-
A.
Blount County
Blount County is a county in eastern Tennessee known for encompassing part of the Great Smoky Mountains and serving as a suburban and recreational area near Knoxville.
-
B.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
C.
Effingham County
Effingham County is a county in southeastern Georgia known for its historic communities, proximity to Savannah, and role as part of the state’s coastal region.
-
D.
Crisp County
Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
-
E.
Toombs County
Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3ff724248190aacb72d105f0bb34 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40a795608190bcb4e0ac13417cc4 |
completed | March 8, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad410ccb448190b8b6096096660d79 |
completed | March 8, 2026, 9:27 a.m. |
Created at: March 1, 2026, 7:38 p.m.