Triple
T14223295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Florida State College |
E352551
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object |
Cocoa
Cocoa is a small city on Florida’s Space Coast known for its historic downtown, proximity to Cape Canaveral, and role as a local educational hub.
|
E1088611
|
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: Cocoa | Statement: [Eastern Florida State College, city, Cocoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocoa Context triple: [Eastern Florida State College, city, Cocoa]
-
A.
Cocoa
Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
-
B.
Cocoa
Cocoa is the dried and processed seed of the cacao tree, widely cultivated in tropical regions for use in chocolate, beverages, and various food products.
-
C.
Mocha
Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
-
D.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
E.
Chocina
Chocina is a river in northern Poland that serves as a tributary of the Brda 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: Cocoa Triple: [Eastern Florida State College, city, Cocoa]
Generated description
Cocoa is a small city on Florida’s Space Coast known for its historic downtown, proximity to Cape Canaveral, and role as a local educational hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cocoa Target entity description: Cocoa is a small city on Florida’s Space Coast known for its historic downtown, proximity to Cape Canaveral, and role as a local educational hub.
-
A.
Cocoa
Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
-
B.
Cocoa
Cocoa is the dried and processed seed of the cacao tree, widely cultivated in tropical regions for use in chocolate, beverages, and various food products.
-
C.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
D.
Mocha
Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
-
E.
Chocina
Chocina is a river in northern Poland that serves as a tributary of the Brda 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2813e55881909bdbc6f3c6ef572b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b0956948190bf654403ad0b154a |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2df66aa48190ae18a4ca1c099c25 |
completed | May 8, 2026, 12:27 a.m. |
Created at: April 10, 2026, 1:06 a.m.