Triple
T2300530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Castro County
Castro County is a rural county in the Texas Panhandle known for its agriculture-based economy and small communities.
|
E276160
|
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: Castro County | Statement: [Texas Panhandle, hasCounty, Castro County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castro County Context triple: [Texas Panhandle, hasCounty, Castro County]
-
A.
Esmeralda County
Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
-
B.
Hendry County
Hendry County is a rural county in southern Florida known for its agricultural economy and small communities near Lake Okeechobee.
-
C.
Wilson County
Wilson County is a county in eastern North Carolina known for its seat, the city of Wilson, and its role in the region’s agricultural and manufacturing economy.
-
D.
Marengo County
Marengo County is a rural county in west-central Alabama known for its agricultural economy, historic small towns, and location in the state's Black Belt region.
-
E.
Lee County
Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
- 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: Castro County Triple: [Texas Panhandle, hasCounty, Castro County]
Generated description
Castro County is a rural county in the Texas Panhandle known for its agriculture-based economy and small communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castro County Target entity description: Castro County is a rural county in the Texas Panhandle known for its agriculture-based economy and small communities.
-
A.
Esmeralda County
Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
-
B.
Hendry County
Hendry County is a rural county in southern Florida known for its agricultural economy and small communities near Lake Okeechobee.
-
C.
Wilson County
Wilson County is a county in eastern North Carolina known for its seat, the city of Wilson, and its role in the region’s agricultural and manufacturing economy.
-
D.
Marengo County
Marengo County is a rural county in west-central Alabama known for its agricultural economy, historic small towns, and location in the state's Black Belt region.
-
E.
Lee County
Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
- 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_69af5cc87e3c8190832d6812a4282ed7 |
completed | March 9, 2026, 11:50 p.m. |
| NEDg | Description generation | batch_69af5d362614819095ea9d74851d0b72 |
completed | March 9, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5d9f5f608190b6e4c216a0c08bfd |
completed | March 9, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:49 p.m.