Triple
T5359576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hays County |
E102985
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Hays, Texas
Hays, Texas is a small unincorporated community located within Hays County in central Texas.
|
E514122
|
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: Hays, Texas | Statement: [Hays County, containsSettlement, Hays, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hays, Texas Context triple: [Hays County, containsSettlement, Hays, Texas]
-
A.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
-
B.
Amarillo, Texas
Amarillo, Texas is a major city in the Texas Panhandle known for its cattle industry, Route 66 heritage, and proximity to Palo Duro Canyon.
-
C.
Hawkins, Texas
Hawkins, Texas is a small city in East Texas known as the "Pancake Capital of Texas" and as the home of Jarvis Christian University.
-
D.
Hutchins, Texas
Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
-
E.
Wichita Falls, Texas
Wichita Falls, Texas is a mid-sized city in northern Texas known for its oil and gas history, military presence at Sheppard Air Force Base, and role as a regional economic and cultural center.
- 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: Hays, Texas Triple: [Hays County, containsSettlement, Hays, Texas]
Generated description
Hays, Texas is a small unincorporated community located within Hays County in central Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hays, Texas Target entity description: Hays, Texas is a small unincorporated community located within Hays County in central Texas.
-
A.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
-
B.
Amarillo, Texas
Amarillo, Texas is a major city in the Texas Panhandle known for its cattle industry, Route 66 heritage, and proximity to Palo Duro Canyon.
-
C.
Hawkins, Texas
Hawkins, Texas is a small city in East Texas known as the "Pancake Capital of Texas" and as the home of Jarvis Christian University.
-
D.
Hutchins, Texas
Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
-
E.
Wichita Falls, Texas
Wichita Falls, Texas is a mid-sized city in northern Texas known for its oil and gas history, military presence at Sheppard Air Force Base, and role as a regional economic and cultural center.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86330e4c8190b5452226886287b3 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e955a8819094a0b12e42e2d6a6 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf23d9ca3881909bfc0a2e99164450 |
completed | March 21, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf243319448190a30d6e8847d3f4b8 |
completed | March 21, 2026, 11:05 p.m. |
Created at: March 20, 2026, 2:02 p.m.