Triple
T1216399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Florida |
E26115
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
|
E175983
|
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: Ocala | Statement: [Central Florida, hasMajorCity, Ocala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocala Context triple: [Central Florida, hasMajorCity, Ocala]
-
A.
Gainesville
Gainesville is a rapidly growing suburban community in Northern Virginia known for its residential developments, shopping centers, and proximity to Washington, D.C.
-
B.
Lakeland
Lakeland is a residential neighborhood located within the city of College Park in Prince George's County, Maryland.
-
C.
Tallahassee
Tallahassee is a city in the Florida Panhandle known for its government institutions, universities, and rolling, forested hills.
-
D.
Springfield, Florida
Springfield, Florida is a small city in Bay County near Panama City, known as a residential community in Florida’s Panhandle.
-
E.
Pensacola, Florida
Pensacola, Florida is a historic Gulf Coast city in the Florida Panhandle known for its white-sand beaches, naval air station, and role as one of the earliest European settlements in the United States.
- 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: Ocala Triple: [Central Florida, hasMajorCity, Ocala]
Generated description
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ocala Target entity description: Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
A.
Gainesville
Gainesville is a rapidly growing suburban community in Northern Virginia known for its residential developments, shopping centers, and proximity to Washington, D.C.
-
B.
Lakeland
Lakeland is a residential neighborhood located within the city of College Park in Prince George's County, Maryland.
-
C.
Tallahassee
Tallahassee is a city in the Florida Panhandle known for its government institutions, universities, and rolling, forested hills.
-
D.
Springfield, Florida
Springfield, Florida is a small city in Bay County near Panama City, known as a residential community in Florida’s Panhandle.
-
E.
Pensacola, Florida
Pensacola, Florida is a historic Gulf Coast city in the Florida Panhandle known for its white-sand beaches, naval air station, and role as one of the earliest European settlements in the United States.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be059c5c8190a200f09442c22334 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308179bc81909716b3acb9d59ea1 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad31dcdef0819093276857b247ecea |
completed | March 8, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad32f287008190b66c9e626a0f39f1 |
completed | March 8, 2026, 8:27 a.m. |
Created at: March 1, 2026, 7:46 p.m.