Triple
T17080558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reactor No. 4 |
E414457
|
entity |
| Predicate | explosionCount |
P18304
|
FINISHED |
| Object | 2 main explosions |
—
|
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: 2 main explosions | Statement: [Reactor No. 4, explosionCount, 2 main explosions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explosionCount Context triple: [Reactor No. 4, explosionCount, 2 main explosions]
-
A.
numberOfExplosions
chosen
Indicates the count of distinct explosion events associated with an entity or situation.
-
B.
explosionOccurred
Indicates that an explosion event has taken place at a specific time and/or location.
-
C.
explosionType
Indicates the specific kind or category of explosion associated with an event or entity.
-
D.
hasFrequentExplosions
Indicates that the subject regularly experiences or produces explosions occurring at short or recurring intervals.
-
E.
numberOfFailedBombs
Indicates the count of bombs associated with an entity that did not successfully detonate or function as intended.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.