Triple
T2300546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Motley County
Motley County is a sparsely populated rural county in the Texas Panhandle known for its ranching, rolling plains, and small communities such as its seat, Matador.
|
E359514
|
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: Motley County | Statement: [Texas Panhandle, hasCounty, Motley County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motley County Context triple: [Texas Panhandle, hasCounty, Motley County]
-
A.
Alfalfa County
Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
B.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
C.
Scurry County
Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
-
D.
Eddy County
Eddy County is a county in southeastern New Mexico known for encompassing Carlsbad Caverns National Park and significant oil and gas production.
-
E.
Mills County
Mills County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
- 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: Motley County Triple: [Texas Panhandle, hasCounty, Motley County]
Generated description
Motley County is a sparsely populated rural county in the Texas Panhandle known for its ranching, rolling plains, and small communities such as its seat, Matador.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Motley County Target entity description: Motley County is a sparsely populated rural county in the Texas Panhandle known for its ranching, rolling plains, and small communities such as its seat, Matador.
-
A.
Alfalfa County
Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
B.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
C.
Scurry County
Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
-
D.
Eddy County
Eddy County is a county in southeastern New Mexico known for encompassing Carlsbad Caverns National Park and significant oil and gas production.
-
E.
Mills County
Mills County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
- 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_69b360793f908190b0341c003207cc6f |
completed | March 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b3614702348190bd35c37d2059312f |
completed | March 13, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362451b848190a2fe80a17ab8f9c3 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 4, 2026, 7:49 p.m.