Triple
T320381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Rosa County, Florida |
E6400
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Peter Prince Field
Peter Prince Field is a public airport serving general aviation needs in Santa Rosa County, Florida.
|
E41372
|
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: Peter Prince Field | Statement: [Santa Rosa County, Florida, hasAirport, Peter Prince Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Prince Field Context triple: [Santa Rosa County, Florida, hasAirport, Peter Prince Field]
-
A.
James Park
James Park is an American technology entrepreneur best known as the co-founder and longtime CEO of the wearable fitness technology company Fitbit.
-
B.
Spencer Brook
Spencer Brook is a smaller tributary stream that feeds into New York’s Croton River within the Croton River watershed system.
-
C.
Evans Diamond
Evans Diamond is the home baseball stadium of the University of California, Berkeley Golden Bears.
-
D.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
E.
Merrifield
Merrifield is an urbanized community in Fairfax County, Virginia, known for its mixed-use developments and proximity to Washington, D.C.
- 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: Peter Prince Field Triple: [Santa Rosa County, Florida, hasAirport, Peter Prince Field]
Generated description
Peter Prince Field is a public airport serving general aviation needs in Santa Rosa County, Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Prince Field Target entity description: Peter Prince Field is a public airport serving general aviation needs in Santa Rosa County, Florida.
-
A.
James Park
James Park is an American technology entrepreneur best known as the co-founder and longtime CEO of the wearable fitness technology company Fitbit.
-
B.
Spencer Brook
Spencer Brook is a smaller tributary stream that feeds into New York’s Croton River within the Croton River watershed system.
-
C.
Evans Diamond
Evans Diamond is the home baseball stadium of the University of California, Berkeley Golden Bears.
-
D.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
E.
Merrifield
Merrifield is an urbanized community in Fairfax County, Virginia, known for its mixed-use developments and proximity to Washington, D.C.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb006f348190b2e8901eb2ced9f3 |
completed | March 1, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69a3cb608d5481908e43e0c0d021f925 |
completed | March 1, 2026, 5:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3cc0fb7b48190bf002516d07b6bc5 |
completed | March 1, 2026, 5:18 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.