Triple
T15546324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swisher County |
E370618
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
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.
|
E1337689
|
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: Kress, Texas | Statement: [Swisher County, hasCity, Kress, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kress, Texas Context triple: [Swisher County, hasCity, Kress, Texas]
-
A.
Cresson, Texas
Cresson, Texas is a small rural city in North Texas known for its location at the junction of several major highways southwest of the Dallas–Fort Worth metroplex.
-
B.
Kurten, Texas
Kurten, Texas is a small rural town in east-central Texas that is part of the Bryan–College Station metropolitan area.
-
C.
Kenefick, Texas
Kenefick, Texas is a small rural town in southeastern Texas known for its quiet residential character within the Greater Houston region.
-
D.
Douglass, Texas
Douglass, Texas is a small unincorporated rural community in East Texas known for its close-knit population and agricultural surroundings.
-
E.
Keene, Texas
Keene, Texas is a small city in North Texas known for its close-knit community and association with Southwestern Adventist University.
- 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: Kress, Texas Triple: [Swisher County, hasCity, Kress, Texas]
Generated description
Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kress, Texas Target entity description: Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
-
A.
Cresson, Texas
Cresson, Texas is a small rural city in North Texas known for its location at the junction of several major highways southwest of the Dallas–Fort Worth metroplex.
-
B.
Kurten, Texas
Kurten, Texas is a small rural town in east-central Texas that is part of the Bryan–College Station metropolitan area.
-
C.
Kenefick, Texas
Kenefick, Texas is a small rural town in southeastern Texas known for its quiet residential character within the Greater Houston region.
-
D.
Douglass, Texas
Douglass, Texas is a small unincorporated rural community in East Texas known for its close-knit population and agricultural surroundings.
-
E.
Keene, Texas
Keene, Texas is a small city in North Texas known for its close-knit community and association with Southwestern Adventist University.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052334e9708190ba9900fb364023ef |
completed | May 14, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_6a0527049428819080f2cc75c5223fb7 |
completed | May 14, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052765e8f88190b8db3cffb212002f |
completed | May 14, 2026, 1:37 a.m. |
Created at: April 10, 2026, 4:07 a.m.