Triple
T2041716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibb County |
E44758
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Lizella
Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
|
E228088
|
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: Lizella | Statement: [Bibb County, hasCity, Lizella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lizella Context triple: [Bibb County, hasCity, Lizella]
-
A.
Zella
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
-
B.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
C.
Lucilla
Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
-
D.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
-
E.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
- 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: Lizella Triple: [Bibb County, hasCity, Lizella]
Generated description
Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lizella Target entity description: Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
-
A.
Zella
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
-
B.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
C.
Lucilla
Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
-
D.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
-
E.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9545aa08190ac74e49e70c4c349 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ffbbf948190a89932013b463f85 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae20946a288190a3bd2a19e3608e86 |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2109d17c819094a298a822064052 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:39 p.m.