Triple
T2611080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddy County |
E58774
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Artesia |
E291751
|
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: Artesia | Statement: [Eddy County, hasCity, Artesia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artesia Context triple: [Eddy County, hasCity, Artesia]
-
A.
Artesia
chosen
Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
-
B.
Barstow
Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
-
C.
Shafter
Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
-
D.
Shafter
Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
-
E.
Calipatria
Calipatria is a small city in Southern California’s Imperial Valley known for its agricultural economy and notably low elevation below sea level.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87b24e48190ad1d4ce7e63c0f3e |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb123148190bca17d1b70fe5245 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:50 p.m.