Triple
T2300534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Childress County
Childress County is a rural county in the eastern Texas Panhandle known for its agricultural economy and county seat, the city of Childress.
|
E386535
|
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: Childress County | Statement: [Texas Panhandle, hasCounty, Childress County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Childress County Context triple: [Texas Panhandle, hasCounty, Childress County]
-
A.
Russell County
Russell County is a county in eastern Alabama, United States, located along the Chattahoochee River near the Georgia state line.
-
B.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
C.
Hemphill County
Hemphill County is a rural county in the northeastern Texas Panhandle known for its ranching, agriculture, and small-town communities.
-
D.
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.
-
E.
Haralson County
Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town 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: Childress County Triple: [Texas Panhandle, hasCounty, Childress County]
Generated description
Childress County is a rural county in the eastern Texas Panhandle known for its agricultural economy and county seat, the city of Childress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Childress County Target entity description: Childress County is a rural county in the eastern Texas Panhandle known for its agricultural economy and county seat, the city of Childress.
-
A.
Russell County
Russell County is a county in eastern Alabama, United States, located along the Chattahoochee River near the Georgia state line.
-
B.
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
C.
Hemphill County
Hemphill County is a rural county in the northeastern Texas Panhandle known for its ranching, agriculture, and small-town communities.
-
D.
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.
-
E.
Haralson County
Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town 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_69b4e4c13494819095821f44916329c9 |
completed | March 14, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69b4e88d88248190a4061327296818c7 |
completed | March 14, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e8f38ba88190944236b2e8ae743e |
completed | March 14, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:49 p.m.