Triple
T7916307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Florida |
E183836
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Crestview |
E389980
|
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: Crestview | Statement: [Northwest Florida, hasCity, Crestview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crestview Context triple: [Northwest Florida, hasCity, Crestview]
-
A.
Crestview
chosen
Crestview is a small city in the Florida Panhandle known as a regional hub for transportation and services in Okaloosa County.
-
B.
Crestwood
Crestwood is a residential neighborhood in Washington, D.C., known for its leafy streets, single-family homes, and proximity to Rock Creek Park.
-
C.
Crestwood
Crestwood is a residential suburb located near Queanbeyan in New South Wales, Australia.
-
D.
Orange Grove
Orange Grove is a historic public square in the city of Bath, England, known for its Georgian architecture and proximity to major landmarks like Bath Abbey.
-
E.
Crestline
Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a76ae688190b068e4c92603a16d |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdffe21fc8190acffc2e92d13aa5d |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:05 p.m.