Triple
T5990182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telfair County |
E133327
|
entity |
| Predicate | containsUnincorporatedCommunity |
P6345
|
FINISHED |
| Object |
Workmore
Workmore is a small unincorporated rural community located in Telfair County, Georgia, United States.
|
E561717
|
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: Workmore | Statement: [Telfair County, containsUnincorporatedCommunity, Workmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Workmore Context triple: [Telfair County, containsUnincorporatedCommunity, Workmore]
-
A.
Working
"Working" is a musical by Stephen Schwartz that adapts Studs Terkel’s book of interviews into a series of vignettes exploring the lives and aspirations of everyday American workers.
-
B.
Afwerki
Afwerki is the surname of Isaias Afwerki, the long-serving president and founding leader of Eritrea.
-
C.
Management and the Worker
Management and the Worker is a landmark 1939 book by Elton Mayo and colleagues that analyzes the Hawthorne studies and helped establish the human relations movement in industrial and organizational psychology.
-
D.
ORK
ORK is the three-letter IATA airport code for Cork Airport in County Cork, Ireland.
-
E.
Workday
Workday is a cloud-based enterprise software company best known for its human capital management and financial management applications used by large organizations worldwide.
- 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: Workmore Triple: [Telfair County, containsUnincorporatedCommunity, Workmore]
Generated description
Workmore is a small unincorporated rural community located in Telfair County, Georgia, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Workmore Target entity description: Workmore is a small unincorporated rural community located in Telfair County, Georgia, United States.
-
A.
Working
"Working" is a musical by Stephen Schwartz that adapts Studs Terkel’s book of interviews into a series of vignettes exploring the lives and aspirations of everyday American workers.
-
B.
Afwerki
Afwerki is the surname of Isaias Afwerki, the long-serving president and founding leader of Eritrea.
-
C.
Management and the Worker
Management and the Worker is a landmark 1939 book by Elton Mayo and colleagues that analyzes the Hawthorne studies and helped establish the human relations movement in industrial and organizational psychology.
-
D.
ORK
ORK is the three-letter IATA airport code for Cork Airport in County Cork, Ireland.
-
E.
Workday
Workday is a cloud-based enterprise software company best known for its human capital management and financial management applications used by large organizations worldwide.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc8ab648190beb1bc141796894e |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1085ac1bc8190a828d3841098cc23 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c10aab4d0c8190ae467f8c7c945196 |
completed | March 23, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10b19705c8190a1d9ee17b1c5833f |
completed | March 23, 2026, 9:42 a.m. |
Created at: March 22, 2026, 4:05 p.m.