Triple
T2300529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Parmer County
Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
|
E390030
|
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: Parmer County | Statement: [Texas Panhandle, hasCounty, Parmer County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parmer County Context triple: [Texas Panhandle, hasCounty, Parmer County]
-
A.
Cleburne County
Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
-
B.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
C.
Ellis County
Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
-
D.
White County
White County is a county in northeastern Georgia known for its mountainous terrain, outdoor recreation, and proximity to historic gold-mining areas.
-
E.
Randall County
Randall County is a county in the Texas Panhandle region, known for including part of the city of Amarillo and featuring a mix of urban and rural High Plains landscapes.
- 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: Parmer County Triple: [Texas Panhandle, hasCounty, Parmer County]
Generated description
Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parmer County Target entity description: Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
-
A.
Cleburne County
Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
-
B.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
C.
Ellis County
Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
-
D.
White County
White County is a county in northeastern Georgia known for its mountainous terrain, outdoor recreation, and proximity to historic gold-mining areas.
-
E.
Randall County
Randall County is a county in the Texas Panhandle region, known for including part of the city of Amarillo and featuring a mix of urban and rural High Plains landscapes.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5edc1348190a4d84606b1310711 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fad35a0c8190a07cc7877fbfec04 |
completed | March 14, 2026, 6:06 a.m. |
| NEDg | Description generation | batch_69b4fc1d144881908affcdae84a3c395 |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc942b588190985b191376289258 |
completed | March 14, 2026, 6:13 a.m. |
Created at: March 4, 2026, 7:49 p.m.