Triple
T4249228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazos County, Texas |
E95804
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kurten, Texas
Kurten, Texas is a small rural town in east-central Texas that is part of the Bryan–College Station metropolitan area.
|
E526014
|
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: Kurten, Texas | Statement: [Brazos County, Texas, contains, Kurten, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurten, Texas Context triple: [Brazos County, Texas, contains, Kurten, Texas]
-
A.
Quinlan, Texas
Quinlan, Texas is a small rural city in North Texas known for its proximity to Lake Tawakoni and its role as a local hub for the surrounding agricultural community.
-
B.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
C.
Keene, Texas
Keene, Texas is a small city in North Texas known for its close-knit community and association with Southwestern Adventist University.
-
D.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
-
E.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
- 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: Kurten, Texas Triple: [Brazos County, Texas, contains, Kurten, Texas]
Generated description
Kurten, Texas is a small rural town in east-central Texas that is part of the Bryan–College Station metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurten, Texas Target entity description: Kurten, Texas is a small rural town in east-central Texas that is part of the Bryan–College Station metropolitan area.
-
A.
Quinlan, Texas
Quinlan, Texas is a small rural city in North Texas known for its proximity to Lake Tawakoni and its role as a local hub for the surrounding agricultural community.
-
B.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
C.
Keene, Texas
Keene, Texas is a small city in North Texas known for its close-knit community and association with Southwestern Adventist University.
-
D.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
-
E.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9df10881908a2f039773f8afaa |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfa91dde508190abd38b4cf132ad5e |
completed | March 22, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69bfa99eda048190a624b4f489361f37 |
completed | March 22, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfaa07ddf08190a55c1541eba22762 |
completed | March 22, 2026, 8:36 a.m. |
Created at: March 12, 2026, 11:06 p.m.