Triple
T16324606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Central Florida |
E396380
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Dunnellon
Dunnellon is a small historic city in Marion County, Florida, known for its scenic Rainbow River and outdoor recreation.
|
E1215194
|
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: Dunnellon | Statement: [North Central Florida, hasMajorCity, Dunnellon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunnellon Context triple: [North Central Florida, hasMajorCity, Dunnellon]
-
A.
Palatka
Palatka is a small historic city in Florida known for its location along the St. Johns River and its role as a regional hub in North Central Florida.
-
B.
Eustis
Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
-
C.
Hernando
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
-
D.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
E.
Deland, Florida
Deland, Florida is a historic city in central Florida known for Stetson University, its preserved downtown, and proximity to natural springs and the St. Johns River.
- 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: Dunnellon Triple: [North Central Florida, hasMajorCity, Dunnellon]
Generated description
Dunnellon is a small historic city in Marion County, Florida, known for its scenic Rainbow River and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dunnellon Target entity description: Dunnellon is a small historic city in Marion County, Florida, known for its scenic Rainbow River and outdoor recreation.
-
A.
Palatka
Palatka is a small historic city in Florida known for its location along the St. Johns River and its role as a regional hub in North Central Florida.
-
B.
Eustis
Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
-
C.
Hernando
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
-
D.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
E.
Deland, Florida
Deland, Florida is a historic city in central Florida known for Stetson University, its preserved downtown, and proximity to natural springs and the St. Johns River.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3d8f188190969b75d82c6b13f0 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050c5d4548190a674c1c19f08a9fd |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051a7ae208190b33d42cc8d4bb21f |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 10, 2026, 5:06 a.m.