Triple
T23675639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Сорочинці |
E584864
|
entity |
| Predicate | типНаселеногоПункту |
P14278
|
FINISHED |
| Object | село |
—
|
LITERAL 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: село | Statement: [Сорочинці, типНаселеногоПункту, село]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типНаселеногоПункту Context triple: [Сорочинці, типНаселеногоПункту, село]
-
A.
humanSettlementType
chosen
Indicates the classification of a human settlement based on its form or function, such as village, town, or city.
-
B.
regionTypeOfPlace
Indicates that a place belongs to or is categorized under a specific type of geographic or administrative region.
-
C.
gminaType
Indicates the administrative classification or type of a gmina (municipality) within an administrative hierarchy.
-
D.
typeOfDistrict
Indicates the specific category or classification to which a given district belongs.
-
E.
urbanDistrictType
Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
- F. None of above.
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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f2e35c8190ada29694e2cbed37 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.