Triple
T15863229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Котлин |
E384641
|
entity |
| Predicate | типОстрова |
P17226
|
FINISHED |
| Object | морской остров в заливе |
—
|
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: морской остров в заливе | Statement: [Котлин, типОстрова, морской остров в заливе]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типОстрова Context triple: [Котлин, типОстрова, морской остров в заливе]
-
A.
islandType
chosen
Indicates the specific classification or category of an island based on its characteristics or formation.
-
B.
archipelagoType
Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
-
C.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
D.
landerType
Indicates the specific kind or category of lander involved in the relationship or action.
-
E.
isSeparatedFromMainlandBy
Indicates that one land area is divided from the mainland by a specific intervening body or feature, such as water or terrain.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.