Triple
T2300544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Crosby County
Crosby County is a rural county in northwestern Texas known for its agricultural economy and location on the South Plains region.
|
E299524
|
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: Crosby County | Statement: [Texas Panhandle, hasCounty, Crosby County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crosby County Context triple: [Texas Panhandle, hasCounty, Crosby County]
-
A.
Alfalfa County
Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
B.
Long County
Long County is a rural county in southeastern Georgia known for its small population, pine forests, and location within the Hinesville–Fort Stewart metropolitan area.
-
C.
Carson County
Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
-
D.
Cardston County
Cardston County is a municipal district in southern Alberta, Canada, known for its rural communities, agriculture, and proximity to the Canada–United States border.
-
E.
Jeff Davis County
Jeff Davis County is a rural county in southeastern Georgia known for its small-town communities and agricultural landscape.
- 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: Crosby County Triple: [Texas Panhandle, hasCounty, Crosby County]
Generated description
Crosby County is a rural county in northwestern Texas known for its agricultural economy and location on the South Plains region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crosby County Target entity description: Crosby County is a rural county in northwestern Texas known for its agricultural economy and location on the South Plains region.
-
A.
Alfalfa County
Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
B.
Long County
Long County is a rural county in southeastern Georgia known for its small population, pine forests, and location within the Hinesville–Fort Stewart metropolitan area.
-
C.
Carson County
Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
-
D.
Cardston County
Cardston County is a municipal district in southern Alberta, Canada, known for its rural communities, agriculture, and proximity to the Canada–United States border.
-
E.
Jeff Davis County
Jeff Davis County is a rural county in southeastern Georgia known for its small-town communities and agricultural landscape.
- 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_69afc629e4588190b6e56329809ed72d |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc7cd70088190bb4eb7f3f04031d2 |
completed | March 10, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc81f909c8190b8908fff327966aa |
completed | March 10, 2026, 7:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.