Triple
T20718298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn County, Texas |
E509236
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object |
Arnett, Texas
Arnett, Texas is a small unincorporated rural community located in Lynn County in the U.S. state of Texas.
|
E1481275
|
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: Arnett, Texas | Statement: [Lynn County, Texas, hasUnincorporatedCommunity, Arnett, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnett, Texas Context triple: [Lynn County, Texas, hasUnincorporatedCommunity, Arnett, Texas]
-
A.
Arlen, Texas
Arlen, Texas is the fictional suburban Texas town that serves as the primary setting for the animated television series "King of the Hill."
-
B.
Annetta, Texas
Annetta, Texas is a small residential town in North Texas that forms part of the Dallas–Fort Worth metropolitan area.
-
C.
Argyle, Texas
Argyle, Texas is a small suburban town in Denton County known for its rural character, highly rated schools, and proximity to the Dallas–Fort Worth metroplex.
-
D.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
E.
Tatum, Texas
Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
- 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: Arnett, Texas Triple: [Lynn County, Texas, hasUnincorporatedCommunity, Arnett, Texas]
Generated description
Arnett, Texas is a small unincorporated rural community located in Lynn County in the U.S. state of Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arnett, Texas Target entity description: Arnett, Texas is a small unincorporated rural community located in Lynn County in the U.S. state of Texas.
-
A.
Arlen, Texas
Arlen, Texas is the fictional suburban Texas town that serves as the primary setting for the animated television series "King of the Hill."
-
B.
Annetta, Texas
Annetta, Texas is a small residential town in North Texas that forms part of the Dallas–Fort Worth metropolitan area.
-
C.
Argyle, Texas
Argyle, Texas is a small suburban town in Denton County known for its rural character, highly rated schools, and proximity to the Dallas–Fort Worth metroplex.
-
D.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
E.
Tatum, Texas
Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d39bec8190b3642b0d6d833375 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b409caac819085163e0d2dc3a020 |
completed | May 17, 2026, 12:26 p.m. |
| NEDg | Description generation | batch_6a09b5e6d1ac8190aeec88859d17d257 |
completed | May 17, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b699fef081909797a5fc50814cb9 |
completed | May 17, 2026, 12:37 p.m. |
Created at: April 16, 2026, 12:20 p.m.