Triple
T4741478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coweta County |
E105252
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Senoia
Senoia is a small historic city in Georgia, United States, known for its well-preserved downtown and frequent use as a filming location, particularly for the television series "The Walking Dead."
|
E466688
|
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: Senoia | Statement: [Coweta County, hasCity, Senoia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senoia Context triple: [Coweta County, hasCity, Senoia]
-
A.
Ascania
Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
-
B.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
C.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
-
D.
Pelagonia
Pelagonia is a historical and geographical region in the Balkans, spanning parts of present-day North Macedonia and Greece, known for its fertile plain and significant cultural heritage.
-
E.
Cosia
Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
- 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: Senoia Triple: [Coweta County, hasCity, Senoia]
Generated description
Senoia is a small historic city in Georgia, United States, known for its well-preserved downtown and frequent use as a filming location, particularly for the television series "The Walking Dead."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senoia Target entity description: Senoia is a small historic city in Georgia, United States, known for its well-preserved downtown and frequent use as a filming location, particularly for the television series "The Walking Dead."
-
A.
Ascania
Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
-
B.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
C.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
-
D.
Pelagonia
Pelagonia is a historical and geographical region in the Balkans, spanning parts of present-day North Macedonia and Greece, known for its fertile plain and significant cultural heritage.
-
E.
Cosia
Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a5f3548190a6acf1dcfd64d11d |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a28ca648190a44d178826926812 |
completed | March 21, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69be3c443c6881908d1a3de22ff1380b |
completed | March 21, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3d0aa1d48190a2af91d251cb5561 |
completed | March 21, 2026, 6:39 a.m. |
Created at: March 20, 2026, 1:19 p.m.