Triple
T7974964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jensen Beach |
E185420
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Martin County |
E271604
|
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: Martin County | Statement: [Jensen Beach, county, Martin County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin County Context triple: [Jensen Beach, county, Martin County]
-
A.
Martin County
chosen
Martin County is a coastal county on Florida’s Atlantic Treasure Coast known for its beaches, waterways, and mix of small cities and natural preserves.
-
B.
Martin County
Martin County is a sparsely populated rural county in western Texas known primarily for its agriculture and oil production.
-
C.
Martin County
Martin County is a rural county in eastern North Carolina known for its agricultural economy and small-town communities.
-
D.
Jackson County
Jackson County is a county in northeastern Georgia, United States, known for its mix of small towns, agricultural areas, and growing suburban communities within the greater Athens and Atlanta regions.
-
E.
Jackson County
Jackson County is a largely rural county in the Florida Panhandle known for its agriculture, small towns, and historic communities such as Marianna.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf42a508190bb661fce34ec0151 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0c39e248190a146c1f2fd815f26 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.