Triple
T18719584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YARTS |
E457732
|
entity |
| Predicate | servesRegion |
P82
|
FINISHED |
| Object | Mono County |
E26068
|
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: Mono County | Statement: [YARTS, servesRegion, Mono County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mono County Context triple: [YARTS, servesRegion, Mono County]
-
A.
Mono County
chosen
Mono County is a sparsely populated county in eastern California known for its dramatic Sierra Nevada landscapes, including parts of Yosemite National Park and Mono Lake.
-
B.
Morgan County
Morgan County is a rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
-
C.
Morgan County
Morgan County is a county in central Indiana, United States, that forms part of the greater Indianapolis metropolitan region.
-
D.
Morgan County
Morgan County is a rural county in the Eastern Panhandle of West Virginia, known for its mountainous terrain, outdoor recreation, and small-town communities.
-
E.
Morgan County
Morgan County is a county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab90adc81909f3b4aabb6d5a707 |
completed | April 19, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b453368819082e56ed1e8c13e21 |
completed | May 14, 2026, 1:54 a.m. |
Created at: April 10, 2026, 11:50 a.m.