Triple
T11895367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia State Route 87 |
E283022
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Twiggs County |
E115143
|
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: Twiggs County | Statement: [Georgia State Route 87, passesThrough, Twiggs County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twiggs County Context triple: [Georgia State Route 87, passesThrough, Twiggs County]
-
A.
Twiggs County
chosen
Twiggs County is a rural county in central Georgia known for its small population, forested landscapes, and location east of Macon.
-
B.
Cottle County
Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
-
C.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
D.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
E.
Donley County
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1286808190949719f54ff49a01 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ff588f08190affc45b44b9e85e3 |
completed | May 1, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.