Triple
T15213866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanning Springs, Florida |
E363587
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Gilchrist County |
E389062
|
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: Gilchrist County | Statement: [Fanning Springs, Florida, county, Gilchrist County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilchrist County Context triple: [Fanning Springs, Florida, county, Gilchrist County]
-
A.
Gilchrist County
chosen
Gilchrist County is a rural county in northern Florida known for its small-town communities and natural springs along the Suwannee and Santa Fe rivers.
-
B.
Gooding County
Gooding County is a rural county in Idaho known for its agricultural economy, small communities, and location along the Snake River Plain.
-
C.
Suwannee County
Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
-
D.
Bartow County
Bartow County is a county in northwestern Georgia known for its rich history, natural resources, and role in the state’s gold-mining region.
-
E.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4542d4308190bebf13dff1ebfe08 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:11 a.m.