Triple
T4182295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Petersburg Oblast |
E88221
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kommunar |
E297652
|
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: Kommunar | Statement: [Saint Petersburg Oblast, contains, Kommunar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kommunar Context triple: [Saint Petersburg Oblast, contains, Kommunar]
-
A.
Kommunar
chosen
Kommunar is a small town in Leningrad Oblast, Russia, known for its location along the Izhora River southeast of Saint Petersburg.
-
B.
Diass
Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
-
C.
Rana Municipality
Rana Municipality is a local government area in Nordland county, Norway, encompassing the town of Mo i Rana and surrounding districts.
-
D.
Romita Municipality
Romita Municipality is an administrative region in the state of Guanajuato, Mexico, known for its agricultural activities and location within the Bajío area.
-
E.
Murça Municipality
Murça Municipality is a local administrative region in northern Portugal known for its rural landscapes, wine production, and historical heritage.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0305e2e88190a51f176f8534f1f9 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589fbcc5881908f245bb377082dcc |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:45 p.m.