Triple
T371368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madera County |
E8275
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | County of Madera |
E8275
|
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: County of Madera | Statement: [Madera County, hasOfficialName, County of Madera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County of Madera Context triple: [Madera County, hasOfficialName, County of Madera]
-
A.
Madera
Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
-
B.
Madera County
chosen
Madera County is a county in central California known for encompassing part of Yosemite National Park and serving as a gateway to the Sierra Nevada.
-
C.
Mariposa County
Mariposa County is a rural county in central California best known as the gateway to much of Yosemite National Park and the Sierra Nevada.
-
D.
Island County
Island County is a county in Washington State composed mainly of Whidbey and Camano Islands, known for its coastal scenery and maritime communities in the Puget Sound.
-
E.
Esmeralda County
Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec00785481908551fc3571fcca47 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a40ad224588190a5648881c4319205 |
completed | March 1, 2026, 9:45 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.