Triple
T23976488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Scientists of the Russian Academy of Sciences |
E604380
|
entity |
| Predicate | topicOfEvents |
P112320
|
FINISHED |
| Object | natural sciences |
—
|
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: natural sciences | Statement: [House of Scientists of the Russian Academy of Sciences, topicOfEvents, natural sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicOfEvents Context triple: [House of Scientists of the Russian Academy of Sciences, topicOfEvents, natural sciences]
-
A.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
B.
genreOfDescribedEvents
Indicates that one entity specifies the genre or type category of the events described by another entity.
-
C.
topicOfReports
Indicates that something serves as the main subject or focus of one or more reports.
-
D.
contemporaryEvents
Indicates that two or more events occur in the same time period or overlap temporally.
-
E.
eventTheme
chosen
Indicates that an entity serves as the central subject, topic, or thematic focus of an event.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bad6ec81908b5649223a72c2b9 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:26 p.m.