Triple
T2595656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea County |
E58223
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Eddy County |
E58774
|
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: Eddy County | Statement: [Lea County, borderedBy, Eddy County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddy County Context triple: [Lea County, borderedBy, Eddy County]
-
A.
Eddy County
chosen
Eddy County is a county in southeastern New Mexico known for encompassing Carlsbad Caverns National Park and significant oil and gas production.
-
B.
Plumas County
Plumas County is a rural, mountainous county in northeastern California known for its forests, lakes, and outdoor recreation within the northern Sierra Nevada.
-
C.
Pecos County
Pecos County is a large, sparsely populated county in West Texas known for its desert landscapes, ranching, and oil and gas production.
-
D.
Harper County
Harper County is a sparsely populated rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
-
E.
Loving County
Loving County is a sparsely populated county in western Texas known for being one of the least populous counties in the United States.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98b03dd08190a7d0df9f06fb3048 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:49 p.m.