Triple
T17054044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltic Sea coastal states |
E413773
|
entity |
| Predicate | sharesIssue |
P125670
|
FINISHED |
| Object | eutrophication of the Baltic Sea |
—
|
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: eutrophication of the Baltic Sea | Statement: [Baltic Sea coastal states, sharesIssue, eutrophication of the Baltic Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesIssue Context triple: [Baltic Sea coastal states, sharesIssue, eutrophication of the Baltic Sea]
-
A.
sharesType
Indicates that two or more entities have the same type or belong to the same category.
-
B.
sharesSymbol
Indicates that two entities use or are associated with the same identifying symbol (such as a ticker, code, or notation).
-
C.
sharesMarketWith
Indicates that two entities operate in or target the same market or customer segment, implying competitive or overlapping commercial presence.
-
D.
sharesTypeWith
Indicates that two entities belong to the same type or category.
-
E.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
- F. None of above. chosen
Provenance (4 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.