Triple
T63456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanford Site |
E1260
|
entity |
| Predicate | reactorType |
P3675
|
FINISHED |
| Object | graphite-moderated plutonium production reactor |
—
|
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: graphite-moderated plutonium production reactor | Statement: [Hanford Site, reactorType, graphite-moderated plutonium production reactor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactorType Context triple: [Hanford Site, reactorType, graphite-moderated plutonium production reactor]
-
A.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
-
B.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
C.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
D.
nestType
Indicates the type or kind of nest associated with or used by an entity.
-
E.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
- 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_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea3c44081908fa3856969881d1f |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a24fcf5a88819088c5fa4c08476358 |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.