Triple
T65954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March Meeting |
E1313
|
entity |
| Predicate | knowledgeExchange |
P4471
|
FINISHED |
| Object | presentation of new experimental results |
—
|
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: presentation of new experimental results | Statement: [March Meeting, knowledgeExchange, presentation of new experimental results]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowledgeExchange Context triple: [March Meeting, knowledgeExchange, presentation of new experimental results]
-
A.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
B.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
C.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
D.
keyArticle
Indicates that an article is a primary or central reference for understanding, supporting, or defining another entity or topic.
-
E.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a2516d98e88190b79261bd3fcadd9b |
completed | Feb. 28, 2026, 2:22 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.