Triple
T15546369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garza County |
E370619
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Lynn County |
E390031
|
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: Lynn County | Statement: [Garza County, hasBorderWith, Lynn County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynn County Context triple: [Garza County, hasBorderWith, Lynn County]
-
A.
Lynn County
chosen
Lynn County is a rural county in the U.S. state of Texas, located south of Lubbock on the Southern High Plains and known for its agriculture-based economy.
-
B.
Russell County
Russell County is a county in eastern Alabama, United States, located along the Chattahoochee River near the Georgia state line.
-
C.
Russell County
Russell County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
-
D.
Russell County
Russell County is a rural county in north-central Kansas known for its agricultural economy and small-town communities.
-
E.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f7d79348190aba1889a7eb3d7c8 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 4:07 a.m.