Triple
T2207769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portales |
E50842
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Roosevelt County |
E53031
|
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: Roosevelt County | Statement: [Portales, county, Roosevelt County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roosevelt County Context triple: [Portales, county, Roosevelt County]
-
A.
Roosevelt County
chosen
Roosevelt County is a largely rural county in eastern New Mexico known for its agricultural economy and the city of Portales, home to Eastern New Mexico University.
-
B.
El Dorado County
El Dorado County is a county in the Sierra Nevada region of Northern California known for its Gold Rush history, outdoor recreation, and proximity to Lake Tahoe.
-
C.
Phillips County
Phillips County is a rural county in the northeastern region of Colorado known for its agricultural landscape and small communities.
-
D.
Crowley County
Crowley County is a sparsely populated rural county in southeastern Colorado known for its agricultural lands and water-related history.
-
E.
Pulaski County
Pulaski County is a rural county in central Georgia known for its agricultural landscape and the city of Hawkinsville as its county seat.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34ba4db388190baa1108563783227 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 4, 2026, 7:46 p.m.