Triple
T37579278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Executive Officer of The Coca-Cola Company |
E934910
|
entity |
| Predicate | headquartersCityOfEmployer |
P60125
|
FINISHED |
| Object | Atlanta, Georgia |
—
|
NE NERFINISHED |
How this triple was built (2 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: Atlanta, Georgia | Statement: [Chief Executive Officer of The Coca-Cola Company, headquartersCityOfEmployer, Atlanta, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersCityOfEmployer Context triple: [Chief Executive Officer of The Coca-Cola Company, headquartersCityOfEmployer, Atlanta, Georgia]
-
A.
majorEmployerCity
Indicates that a city is a primary or significant employer of a given entity (such as an organization or population).
-
B.
hasHeadOfficeCity
chosen
Indicates that an organization’s main or central administrative office is located in a particular city.
-
C.
employerHeadquarters
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
D.
laterCompanyHeadquartersCity
Indicates that the specified city is the location of a company’s headquarters during a later period in time, following an earlier headquarters location.
-
E.
headquartersMetroArea
Indicates that an organization’s main headquarters is located within a specified metropolitan area.
- F. None of above.
Provenance (3 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.