Triple
T2626340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern California |
E59126
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | El Dorado County |
E9237
|
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: El Dorado County | Statement: [Eastern California, hasPart, El Dorado County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Dorado County Context triple: [Eastern California, hasPart, El Dorado County]
-
A.
El Dorado County
chosen
El Dorado County is a county in the Sierra Nevada region of Northern California known for its Gold Rush history, outdoor recreation, and proximity to Lake Tahoe.
-
B.
Roosevelt County
Roosevelt County is a largely rural county in eastern New Mexico known for its agricultural economy and the city of Portales, home to Eastern New Mexico University.
-
C.
Phillips County
Phillips County is a rural county in the northeastern region of Colorado known for its agricultural landscape and small communities.
-
D.
Woodward County
Woodward County is a largely rural county in northwestern Oklahoma known for its agricultural economy and role as a regional trade and service center.
-
E.
Pearl River County
Pearl River County is a county in southern Mississippi known for its mix of small towns, including Picayune, and rural communities near the Louisiana border.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8b1bd348190a4be25caa82d2eb1 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb5cd6f08190adbfbfcf9bb0b096 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 6, 2026, 9:50 p.m.