Triple
T2428618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Lamar |
E53589
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Prowers County |
E250566
|
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: Prowers County | Statement: [City of Lamar, county, Prowers County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prowers County Context triple: [City of Lamar, county, Prowers County]
-
A.
Prowers County
chosen
Prowers County is a rural county in southeastern Colorado known for its agricultural economy and location along the Arkansas River near the Kansas border.
-
B.
Kiowa County
Kiowa County is a sparsely populated rural county in the High Plains of southeastern Colorado, known for its agricultural economy and wide-open prairie landscapes.
-
C.
Fremont County
Fremont County is a rural county in the southwestern corner of Iowa known for its agricultural landscape and small communities.
-
D.
Cheyenne County
Cheyenne County is a sparsely populated rural county in eastern Colorado known for its agricultural economy and wide-open High Plains landscape.
-
E.
Eureka County
Eureka County is a sparsely populated rural county in north-central Nevada known for its mining history and wide expanses of high desert landscape.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99e1b548190aca9a0ba72a9b0f7 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f7f0738819091d06a7279f45d61 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:42 p.m.