Triple
T12280298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta County Airport |
E292698
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Delta County
Delta County is a county-level governmental jurisdiction in the United States that owns and operates Delta County Airport.
|
E993993
|
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: Delta County | Statement: [Delta County Airport, owner, Delta County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta County Context triple: [Delta County Airport, owner, Delta County]
-
A.
Prescott County
Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
-
B.
Carson County
Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
-
C.
Grant County
Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
-
D.
Grant County
Grant County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
-
E.
Garfield County
Garfield County is a rural county in southwestern Utah known for its vast public lands, including parts of Bryce Canyon National Park and Grand Staircase–Escalante National Monument.
- 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: Delta County Triple: [Delta County Airport, owner, Delta County]
Generated description
Delta County is a county-level governmental jurisdiction in the United States that owns and operates Delta County Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delta County Target entity description: Delta County is a county-level governmental jurisdiction in the United States that owns and operates Delta County Airport.
-
A.
Prescott County
Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
-
B.
Carson County
Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
-
C.
Grant County
Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
-
D.
Grant County
Grant County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
-
E.
Garfield County
Garfield County is a rural county in southwestern Utah known for its vast public lands, including parts of Bryce Canyon National Park and Grand Staircase–Escalante National Monument.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e9e909081909b341398e7aae954 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f6637f6b188190b61c986aa37bcfed |
completed | May 2, 2026, 8:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f664db08e48190919ab5a175a23275 |
completed | May 2, 2026, 8:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.