Triple
T640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Medal of Science |
E12
|
entity |
| Predicate | symbolizes |
P129
|
FINISHED |
| Object | national recognition of scientific achievement |
—
|
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: national recognition of scientific achievement | Statement: [National Medal of Science, symbolizes, national recognition of scientific achievement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolizes Context triple: [National Medal of Science, symbolizes, national recognition of scientific achievement]
-
A.
motto
Indicates that one entity serves as the guiding phrase, slogan, or maxim associated with another entity.
-
B.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
C.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
D.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
E.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
- 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_69a22735e1b081908bd0457057dcf086 |
completed | Feb. 27, 2026, 11:22 p.m. |
| NER | Named-entity recognition | batch_69a2304aaa2c8190ab7e8dd5da977c11 |
completed | Feb. 28, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69a22918087081909e717b8bee896e8f |
completed | Feb. 27, 2026, 11:30 p.m. |
| PDg | Predicate description generation | batch_69a23049fde881908c53b5d18ebc73d0 |
completed | Feb. 28, 2026, 12:01 a.m. |
Created at: Feb. 27, 2026, 11:24 p.m.