Triple
T9207805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bojnord |
E221030
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object | Bojnord County |
E785964
|
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: Bojnord County | Statement: [Bojnord, subdivisionName, Bojnord County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bojnord County Context triple: [Bojnord, subdivisionName, Bojnord County]
-
A.
Bojnord County
chosen
Bojnord County is an administrative division in North Khorasan Province in northeastern Iran, centered around the city of Bojnord.
-
B.
Oslo County
Oslo County is the administrative region that encompasses Norway’s capital city, Oslo, serving as a central hub for the country’s political, cultural, and academic institutions.
-
C.
Boundary County
Boundary County is a rural county in the far northern tip of Idaho, known for its forests, mountains, and location along the Canadian border.
-
D.
Forest County
Forest County is a sparsely populated, heavily forested rural county in northwestern Pennsylvania known for its extensive public lands and outdoor recreation.
-
E.
Clearwater County
Clearwater County is a rural county in north-central Idaho known for its forested mountains, rivers, and outdoor recreation opportunities.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b217008190a0ab4971dd4a8899 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077875eac8190a020dfa38998385e |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:26 p.m.