Triple
T12093265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mykolaiv Oblast |
E288001
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Pervomaisk |
E410602
|
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: Pervomaisk | Statement: [Mykolaiv Oblast, hasCity, Pervomaisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pervomaisk Context triple: [Mykolaiv Oblast, hasCity, Pervomaisk]
-
A.
Pervomaisk
chosen
Pervomaisk is a city in southern Ukraine known as an industrial and transport hub situated along the Southern Bug River.
-
B.
Poriem
Poriem is a legislative assembly constituency in the Indian state of Goa, represented in the Goa Legislative Assembly.
-
C.
Primroze
Primroze is an alternative spelling or stylized variant of the name "Primrose," often used as a given name or brand name.
-
D.
Přimda
Přimda is a small historic town in the Plzeň Region of the Czech Republic, known for the ruins of one of the country’s oldest stone castles on a nearby hill.
-
E.
Pervalka
Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66edf7881908f29b5b40b9d020f |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.