Triple
T17404124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panevėžys County |
E423168
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Utena County |
—
|
NE NERFINISHED |
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: Utena County | Statement: [Panevėžys County, borderedBy, Utena County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utena County Context triple: [Panevėžys County, borderedBy, Utena County]
-
A.
Utena County
chosen
Utena County is an administrative region in northeastern Lithuania known for its lakes, forests, and river landscapes.
-
B.
Audrain County
Audrain County is a county in central Missouri known for its agricultural economy and its county seat, the city of Mexico.
-
C.
Bennett County
Bennett County is a rural county in South Dakota that includes part of the Pine Ridge Indian Reservation and has a significant Native American population.
-
D.
Taney County
Taney County is a county in southwestern Missouri known for encompassing the popular tourist destination city of Branson.
-
E.
Okfuskee County
Okfuskee County is a rural county in east-central Oklahoma known for its small communities, including the county seat of Okemah, and its historical ties to Native American nations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b068248819088871d79f8a38f30 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.