Triple
T16628167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walker County, Texas |
E404004
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object | Dodge, Texas |
—
|
NE NERFINISHED |
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: Dodge, Texas | Statement: [Walker County, Texas, hasUnincorporatedCommunity, Dodge, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dodge, Texas Context triple: [Walker County, Texas, hasUnincorporatedCommunity, Dodge, Texas]
-
A.
Dodge, Texas
chosen
Dodge, Texas is a small unincorporated rural community located in Walker County in eastern Texas.
-
B.
Dodd City, Texas
Dodd City, Texas is a small rural town located in Fannin County in northeastern Texas.
-
C.
Dale, Texas
Dale, Texas is a small unincorporated rural community located in Caldwell County in central Texas.
-
D.
Douglass, Texas
Douglass, Texas is a small unincorporated rural community in East Texas known for its close-knit population and agricultural surroundings.
-
E.
DeSoto, Texas
DeSoto, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:17 a.m.