Triple
T1147690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grayson County, Texas |
E23602
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Denison, Texas |
E3097
|
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: Denison, Texas | Statement: [Grayson County, Texas, hasCity, Denison, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denison, Texas Context triple: [Grayson County, Texas, hasCity, Denison, Texas]
-
A.
Denison, Texas, United States
chosen
Denison, Texas, United States, is a North Texas city best known as the birthplace of U.S. President Dwight D. Eisenhower.
-
B.
Ennis, Texas
Ennis, Texas is a small city in North Texas known for its annual National Polka Festival and its designation as the “Official Bluebonnet City of Texas.”
-
C.
Dorchester, Texas
Dorchester, Texas is a small rural community located in Grayson County in north-central Texas.
-
D.
Mesquite, Texas
Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
-
E.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc7041248190893e4c655dbd0604 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af989077b881909eb04ffb1e252e8c |
completed | March 10, 2026, 4:05 a.m. |
Created at: March 1, 2026, 7:44 p.m.