Triple
T820560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Foley
Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
|
E98096
|
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: Foley | Statement: [Alabama, containsCity, Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foley Context triple: [Alabama, containsCity, Foley]
-
A.
Fink
Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
-
B.
Flo
Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
-
C.
Farley
Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
-
D.
Farley
Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
-
E.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
- 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: Foley Triple: [Alabama, containsCity, Foley]
Generated description
Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foley Target entity description: Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
-
A.
Fink
Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
-
B.
Flo
Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
-
C.
Farley
Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
-
D.
Farley
Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
-
E.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d91c2948190bc13a223548facba |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a77e828bb08190a67768d08557f305 |
completed | March 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a77efbc2ac819083a900d2ecd8924e |
completed | March 4, 2026, 12:38 a.m. |
Created at: March 1, 2026, 7:38 p.m.