Triple
T1035861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaufman County, Texas |
E22359
|
entity |
| Predicate | includesTown |
P847
|
FINISHED |
| Object |
Rosser, Texas
Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
|
E258408
|
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: Rosser, Texas | Statement: [Kaufman County, Texas, includesTown, Rosser, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosser, Texas Context triple: [Kaufman County, Texas, includesTown, Rosser, Texas]
-
A.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
B.
Ferris, Texas
Ferris, Texas is a small city in the Dallas–Fort Worth metropolitan area known historically for its brick manufacturing industry.
-
C.
Mission, Texas
Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
-
D.
Talty, Texas
Talty, Texas is a small town in northeastern Texas that functions largely as a residential community within the Dallas–Fort Worth metropolitan area.
-
E.
Red Oak, Texas
Red Oak, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to major urban centers.
- 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: Rosser, Texas Triple: [Kaufman County, Texas, includesTown, Rosser, Texas]
Generated description
Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosser, Texas Target entity description: Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
-
A.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
B.
Ferris, Texas
Ferris, Texas is a small city in the Dallas–Fort Worth metropolitan area known historically for its brick manufacturing industry.
-
C.
Mission, Texas
Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
-
D.
Talty, Texas
Talty, Texas is a small town in northeastern Texas that functions largely as a residential community within the Dallas–Fort Worth metropolitan area.
-
E.
Red Oak, Texas
Red Oak, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to major urban centers.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b816272c8190a12e470c4d4ebcf9 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95c9bbfc81909a02cdca9c859d01 |
completed | March 9, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69ae97ba6cac8190b9a9f48b3f41d8c6 |
completed | March 9, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae9991f438819091c4de282456a138 |
completed | March 9, 2026, 9:57 a.m. |
Created at: March 1, 2026, 7:41 p.m.