Triple
T21406637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lerik District |
E528051
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Lerik |
—
|
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: Lerik | Statement: [Lerik District, capital, Lerik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerik Context triple: [Lerik District, capital, Lerik]
-
A.
Lerik
chosen
Lerik is a small mountainous city in southern Azerbaijan, known for its lush forests, cool climate, and reputation for residents with exceptional longevity.
-
B.
Lerik District
Lerik District is a mountainous administrative region in southern Azerbaijan known for its lush forests, long-living residents, and location near the Iranian border.
-
C.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
D.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
E.
Kjevik
Kjevik is a locality in southern Norway best known for hosting Kristiansand Airport, a key regional air transport hub.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b08fdc81909b3ba01add5f6484 |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:32 p.m.