Triple
T4825422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tattnall County |
E107811
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Manassas
Manassas is a small city located in Tattnall County in southeastern Georgia, United States.
|
E473408
|
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: Manassas | Statement: [Tattnall County, hasCity, Manassas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manassas Context triple: [Tattnall County, hasCity, Manassas]
-
A.
Manassas
Manassas is an independent city in Northern Virginia best known as the site of two major American Civil War battles and now a suburban community within the Washington, D.C. metropolitan area.
-
B.
Sharpsburg
Sharpsburg is a small town in Coweta County, Georgia, known for its quiet residential character within the Atlanta metropolitan area.
-
C.
Sharpsburg, Maryland
Sharpsburg, Maryland is a small historic town in Washington County best known as the site of the Civil War Battle of Antietam.
-
D.
Fredericksburg
Fredericksburg is a historic independent city in Virginia known for its significant Civil War battlefields and well-preserved colonial-era downtown.
-
E.
Fredericksburg
Fredericksburg is a historic central Texas town known for its German heritage, wineries, and role as a gateway to the scenic Hill Country region.
- 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: Manassas Triple: [Tattnall County, hasCity, Manassas]
Generated description
Manassas is a small city located in Tattnall County in southeastern Georgia, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manassas Target entity description: Manassas is a small city located in Tattnall County in southeastern Georgia, United States.
-
A.
Manassas
Manassas is an independent city in Northern Virginia best known as the site of two major American Civil War battles and now a suburban community within the Washington, D.C. metropolitan area.
-
B.
Sharpsburg
Sharpsburg is a small town in Coweta County, Georgia, known for its quiet residential character within the Atlanta metropolitan area.
-
C.
Sharpsburg, Maryland
Sharpsburg, Maryland is a small historic town in Washington County best known as the site of the Civil War Battle of Antietam.
-
D.
Fredericksburg
Fredericksburg is a historic independent city in Virginia known for its significant Civil War battlefields and well-preserved colonial-era downtown.
-
E.
Fredericksburg
Fredericksburg is a historic central Texas town known for its German heritage, wineries, and role as a gateway to the scenic Hill Country region.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cadb2bc81909455149e46eb593a |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dca2b708190ac05c91ba04d9ff6 |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4fc6ea3c819099ede84700eb5a5a |
completed | March 21, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5146f1ac8190977512323af69487 |
completed | March 21, 2026, 8:05 a.m. |
Created at: March 20, 2026, 1:24 p.m.