Triple
T5399651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brookhaven Medical Research Reactor |
E120740
|
entity |
| Predicate | significantUse |
P13668
|
FINISHED |
| Object | clinical neutron therapy for cancer |
—
|
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: clinical neutron therapy for cancer | Statement: [Brookhaven Medical Research Reactor, significantUse, clinical neutron therapy for cancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantUse Context triple: [Brookhaven Medical Research Reactor, significantUse, clinical neutron therapy for cancer]
-
A.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
B.
significantPort
Indicates that a port holds major importance in terms of trade, transportation, or strategic relevance within a given context.
-
C.
majorUse
chosen
Indicates that something serves as the primary or most significant use or application of an entity.
-
D.
notableUse
Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
-
E.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.