Triple
T2802930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaves County |
E53186
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Lea County |
E58223
|
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: Lea County | Statement: [Chaves County, borders, Lea County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lea County Context triple: [Chaves County, borders, Lea County]
-
A.
Lea County
chosen
Lea County is a largely rural, oil- and gas-producing county in southeastern New Mexico known for its energy industry and agricultural activities.
-
B.
Hutchinson County
Hutchinson County is a rural county in the Texas Panhandle known for its oil and gas production and small, closely knit communities.
-
C.
Esmeralda County
Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
-
D.
Latah County
Latah County is a county in north-central Idaho known for its agricultural landscape and as home to the University of Idaho in the city of Moscow.
-
E.
Terry County
Terry County is a rural county in western Texas known for its agriculture, particularly cotton farming, and its location on the South Plains region.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde12b33481908b276760a922db9c |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108c7cfd48190b959e60b9e7fc0fa |
completed | March 11, 2026, 6:16 a.m. |
Created at: March 6, 2026, 9:59 p.m.