Triple
T7773213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anson County |
E179122
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Anson Co.
Anson Co. is the standard abbreviated form used to refer to Anson County, a county-level jurisdiction in the U.S. state of North Carolina.
|
E687753
|
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: Anson Co. | Statement: [Anson County, hasAbbreviation, Anson Co.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anson Co. Context triple: [Anson County, hasAbbreviation, Anson Co.]
-
A.
Davidson Co.
Davidson Co. is a common abbreviated form used to refer to Davidson County, a county-level jurisdiction in the United States.
-
B.
Haralson County
Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town communities.
-
C.
Garvin County
Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
-
D.
Childress County
Childress County is a rural county in the eastern Texas Panhandle known for its agricultural economy and county seat, the city of Childress.
-
E.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
- 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: Anson Co. Triple: [Anson County, hasAbbreviation, Anson Co.]
Generated description
Anson Co. is the standard abbreviated form used to refer to Anson County, a county-level jurisdiction in the U.S. state of North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anson Co. Target entity description: Anson Co. is the standard abbreviated form used to refer to Anson County, a county-level jurisdiction in the U.S. state of North Carolina.
-
A.
Davidson Co.
Davidson Co. is a common abbreviated form used to refer to Davidson County, a county-level jurisdiction in the United States.
-
B.
Haralson County
Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town communities.
-
C.
Garvin County
Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
-
D.
Childress County
Childress County is a rural county in the eastern Texas Panhandle known for its agricultural economy and county seat, the city of Childress.
-
E.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70461b3e48190bf1e4d4f9e6bb08e |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ee407881908e591d216c504b24 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b84f88819086ecd371b62e2b5b |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c917a1308190ab2c8e70d6ed8c0e |
completed | March 29, 2026, 6:39 a.m. |
Created at: March 27, 2026, 4:11 p.m.