Triple
T310963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C Reactor |
E7605
|
entity |
| Predicate | permanentShutdown |
P11821
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [C Reactor, permanentShutdown, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentShutdown Context triple: [C Reactor, permanentShutdown, 1969]
-
A.
firstLongShutdown
Indicates the first occurrence of a prolonged shutdown event affecting the referenced entity or system.
-
B.
secondLongShutdown
Indicates that an entity undergoes a second extended or prolonged shutdown event in a sequence of shutdowns.
-
C.
closureReason
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
-
D.
losingManager
Indicates that the referenced manager is the one whose team or organization was defeated or performed worse in a particular competition, comparison, or event.
-
E.
closed
Indicates that an entity has brought something (such as an object, container, or space) from an open state into a shut or sealed state, or that it is currently in that shut state.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea49636c8190a69cbd951fc0a4db |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.