Triple
T16984571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burleson County, Texas |
E412029
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object |
Chriesman, Texas
Chriesman, Texas is a small unincorporated rural community located in Burleson County in central Texas.
|
E1422919
|
NE FINISHED |
How this triple was built (4 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: Chriesman, Texas | Statement: [Burleson County, Texas, hasUnincorporatedCommunity, Chriesman, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chriesman, Texas Context triple: [Burleson County, Texas, hasUnincorporatedCommunity, Chriesman, Texas]
-
A.
Channing, Texas
Channing, Texas is a small rural city in the Texas Panhandle known historically as a railroad town and ranching community.
-
B.
Briscoe, Texas
Briscoe, Texas is a small unincorporated rural community located in Wheeler County in the Texas Panhandle.
-
C.
Kress, Texas
Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
-
D.
Chireno, Texas
Chireno, Texas is a small rural community in East Texas known for its historic roots and close-knit, predominantly agricultural character.
-
E.
Tye, Texas
Tye, Texas is a small city in West Texas located near Abilene, known primarily as a rural community along major transportation routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chriesman, Texas Triple: [Burleson County, Texas, hasUnincorporatedCommunity, Chriesman, Texas]
Generated description
Chriesman, Texas is a small unincorporated rural community located in Burleson County in central Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chriesman, Texas Target entity description: Chriesman, Texas is a small unincorporated rural community located in Burleson County in central Texas.
-
A.
Channing, Texas
Channing, Texas is a small rural city in the Texas Panhandle known historically as a railroad town and ranching community.
-
B.
Briscoe, Texas
Briscoe, Texas is a small unincorporated rural community located in Wheeler County in the Texas Panhandle.
-
C.
Kress, Texas
Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
-
D.
Chireno, Texas
Chireno, Texas is a small rural community in East Texas known for its historic roots and close-knit, predominantly agricultural character.
-
E.
Tye, Texas
Tye, Texas is a small city in West Texas located near Abilene, known primarily as a rural community along major transportation routes.
- F. None of above. chosen
Provenance (5 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18a0bf881908c449f499eb86495 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a0580348190ad164baf7c4fb6af |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085e08f48081908ab8ced61d9a05cb |
completed | May 16, 2026, 12:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085e9436a8819099294a5cfecf56dc |
completed | May 16, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:32 a.m.