Triple
T3432009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty County, Florida |
E72359
|
entity |
| Predicate | hasCountyCode |
P10086
|
FINISHED |
| Object | Liberty County |
E383221
|
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: Liberty County | Statement: [Liberty County, Florida, hasCountyCode, Liberty County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liberty County Context triple: [Liberty County, Florida, hasCountyCode, Liberty County]
-
A.
Liberty County
Liberty County is a coastal county in southeastern Georgia known for its historic communities, military presence at Fort Stewart, and proximity to the Atlantic shoreline.
-
B.
Liberty County
Liberty County is a county in southeastern Texas that forms part of the Greater Houston metropolitan region.
-
C.
Liberty County
chosen
Liberty County is a sparsely populated rural county in the Florida Panhandle known for its extensive forests and natural areas.
-
D.
Lowndes County
Lowndes County is a rural county in central Alabama known for its significant role in the American civil rights movement, particularly during the Selma to Montgomery marches.
-
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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c077d48190bee40795cab3e422 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b73c409081909c583019d7ec1d4a |
completed | March 14, 2026, 7:30 p.m. |
Created at: March 8, 2026, 3:15 p.m.