Triple
T16324587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Central Florida |
E396380
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Starke
Starke is a small city in north-central Florida known as the county seat of Bradford County and a regional hub along U.S. Route 301.
|
E1207542
|
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: Starke | Statement: [North Central Florida, hasMajorCity, Starke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starke Context triple: [North Central Florida, hasMajorCity, Starke]
-
A.
Starker
Starker is a surname most notably associated with János Starker, the renowned Hungarian-American cellist.
-
B.
Stark
Stark is a common surname of Scottish origin associated with various notable figures in politics, science, and popular culture.
-
C.
Tyrš
Tyrš is a Czech surname most notably associated with Miroslav Tyrš, a key founder of the Sokol physical education movement.
-
D.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
E.
Kraftt
Kraftt is an alternative or variant form of the name "Kraft," likely referring to the same or a closely related entity, such as the well-known food brand or surname.
- 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: Starke Triple: [North Central Florida, hasMajorCity, Starke]
Generated description
Starke is a small city in north-central Florida known as the county seat of Bradford County and a regional hub along U.S. Route 301.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Starke Target entity description: Starke is a small city in north-central Florida known as the county seat of Bradford County and a regional hub along U.S. Route 301.
-
A.
Starker
Starker is a surname most notably associated with János Starker, the renowned Hungarian-American cellist.
-
B.
Stark
Stark is a common surname of Scottish origin associated with various notable figures in politics, science, and popular culture.
-
C.
Tyrš
Tyrš is a Czech surname most notably associated with Miroslav Tyrš, a key founder of the Sokol physical education movement.
-
D.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
E.
Kraftt
Kraftt is an alternative or variant form of the name "Kraft," likely referring to the same or a closely related entity, such as the well-known food brand or surname.
- 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_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0027a095508190b7c6fd56af289e7b |
completed | May 10, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00282d9b0c81908031404c41b3baa5 |
completed | May 10, 2026, 6:39 a.m. |
Created at: April 10, 2026, 5:06 a.m.