Triple
T2300565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Crane County
Crane County is a sparsely populated county in western Texas known for its oil production and rural desert landscape.
|
E310573
|
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: Crane County | Statement: [Texas Panhandle, hasCounty, Crane County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crane County Context triple: [Texas Panhandle, hasCounty, Crane County]
-
A.
Pulaski County
Pulaski County is a rural county in central Georgia known for its agricultural landscape and the city of Hawkinsville as its county seat.
-
B.
Terry County
Terry County is a rural county in western Texas known for its agriculture, particularly cotton farming, and its location on the South Plains region.
-
C.
Stephenson County
Stephenson County is a county in northern Illinois known for its agricultural landscape, small towns, and historic connection to figures like Jane Addams, who was born in Cedarville.
-
D.
Barton County
Barton County is a rural county in southwestern Missouri, United States, known as the birthplace of President Harry S. Truman.
-
E.
Hutchinson County
Hutchinson County is a rural county in the Texas Panhandle known for its oil and gas production and small, closely knit 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: Crane County Triple: [Texas Panhandle, hasCounty, Crane County]
Generated description
Crane County is a sparsely populated county in western Texas known for its oil production and rural desert landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crane County Target entity description: Crane County is a sparsely populated county in western Texas known for its oil production and rural desert landscape.
-
A.
Pulaski County
Pulaski County is a rural county in central Georgia known for its agricultural landscape and the city of Hawkinsville as its county seat.
-
B.
Terry County
Terry County is a rural county in western Texas known for its agriculture, particularly cotton farming, and its location on the South Plains region.
-
C.
Stephenson County
Stephenson County is a county in northern Illinois known for its agricultural landscape, small towns, and historic connection to figures like Jane Addams, who was born in Cedarville.
-
D.
Barton County
Barton County is a rural county in southwestern Missouri, United States, known as the birthplace of President Harry S. Truman.
-
E.
Hutchinson County
Hutchinson County is a rural county in the Texas Panhandle known for its oil and gas production and small, closely knit 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_69b0559d1e708190bc8d28ed3706ae23 |
completed | March 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69b0600b4d588190b95be97da3ac0842 |
completed | March 10, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b062a6241c81909f3217a4a33aa4c6 |
completed | March 10, 2026, 6:27 p.m. |
Created at: March 4, 2026, 7:49 p.m.