Triple
T15321660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturt County |
E366305
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Mitchell County
Mitchell County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
|
E1183865
|
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: Mitchell County | Statement: [Sturt County, hasNeighbour, Mitchell County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell County Context triple: [Sturt County, hasNeighbour, Mitchell County]
-
A.
Mitchell County
Mitchell County is a rural county in west-central Texas known for its ranching, wind energy production, and the city of Colorado City as its county seat.
-
B.
Mitchell County
Mitchell County is a rural county in northern Iowa known for its small farming communities and agricultural landscape.
-
C.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
-
D.
Blanco County
Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
-
E.
Sherman County
Sherman County is a rural county in central Nebraska known for its agricultural landscape and small 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: Mitchell County Triple: [Sturt County, hasNeighbour, Mitchell County]
Generated description
Mitchell County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mitchell County Target entity description: Mitchell County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
-
A.
Mitchell County
Mitchell County is a rural county in west-central Texas known for its ranching, wind energy production, and the city of Colorado City as its county seat.
-
B.
Mitchell County
Mitchell County is a rural county in northern Iowa known for its small farming communities and agricultural landscape.
-
C.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
-
D.
Blanco County
Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
-
E.
Sherman County
Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd460288190b5c41f0a0aeee949 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb593258081909dcaf2b37fd28e63 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb6945aec8190a2295e497f6c7cf3 |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb70b8a3081909ee116014e47a757 |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 3:16 a.m.