Triple
T2030076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanford production reactors |
E44495
|
entity |
| Predicate | numberOfReactors |
P34726
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Hanford production reactors, numberOfReactors, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfReactors Context triple: [Hanford production reactors, numberOfReactors, 9]
-
A.
numberOfPowerhouses
Indicates the quantity of powerhouse entities associated with or contained by a given subject.
-
B.
reactorType
Indicates the specific kind or category of reactor associated with an entity.
-
C.
reactor
Indicates a relationship where an entity functions as or is associated with a nuclear or chemical reactor system.
-
D.
numberOfIsotopesProduced
Indicates the quantity of distinct isotopes that are generated or obtained from a specified process, reaction, or source.
-
E.
numberOfTanks
Indicates the quantity or count of tanks associated with a given entity or context.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb914a40081909a937689bea3dc85 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:38 p.m.