Triple
T13783531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Florida State College |
E331190
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Niceville |
E65872
|
NE FINISHED |
How this triple was built (2 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: Niceville | Statement: [Northwest Florida State College, city, Niceville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niceville Context triple: [Northwest Florida State College, city, Niceville]
-
A.
Niceville, Florida
chosen
Niceville, Florida is a small city in the Florida Panhandle known for its family-friendly community, proximity to Eglin Air Force Base, and access to Choctawhatchee Bay.
-
B.
Youngsville
Youngsville is a small town in Franklin County, North Carolina, located just north of the Raleigh–Durham metropolitan area.
-
C.
Temperanceville
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
-
D.
Davidville
Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
-
E.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0247ccc881908dad7b547221f15d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e3642481908a9b84d8d71fb4d4 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.