Triple
T11732862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dickens County |
E278941
|
entity |
| Predicate | borderedByCounty |
P6346
|
FINISHED |
| Object | Crosby County |
E299524
|
NE FINISHED |
How this triple was built (2 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: [Dickens County, borderedByCounty, Crosby County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crosby County Context triple: [Dickens County, borderedByCounty, Crosby County]
-
A.
Crosby County
chosen
Crosby County is a rural county in northwestern Texas known for its agricultural economy and location on the South Plains region.
-
B.
Yoakum County
Yoakum County is a rural county in western Texas known for its agriculture and oil production.
-
C.
Alfalfa County
Alfalfa County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
D.
Llano County
Llano County is a rural county in central Texas known for its scenic Hill Country landscapes, granite outcrops, and outdoor recreation around lakes and rivers.
-
E.
Ballard County
Ballard County is a rural county in far western Kentucky, located within the Jackson Purchase region along the Mississippi River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09004c5908190bd6d7a29b266318b |
completed | April 28, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:41 p.m.