Triple
T17861405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Providensky District |
E446079
|
entity |
| Predicate | hasUrbanTypeSettlement |
P40854
|
FINISHED |
| Object | Enmelen |
—
|
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: Enmelen | Statement: [Providensky District, hasUrbanTypeSettlement, Enmelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enmelen Context triple: [Providensky District, hasUrbanTypeSettlement, Enmelen]
-
A.
Enmelen
chosen
Enmelen is a small rural settlement located in the remote, Arctic coastal region of Chukotka in Russia.
-
B.
Melenki
Melenki is a small town in western Russia known for its traditional provincial character within the historical region of central European Russia.
-
C.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
-
D.
Leimental
Leimental is a region in the canton of Basel-Landschaft in Switzerland, known for its suburban communities and scenic landscapes near the city of Basel.
-
E.
Meent
Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.