Triple
T33584449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 39 nuclear bomb |
E860241
|
entity |
| Predicate | numberOfSafetyDevices |
P204138
|
FINISHED |
| Object | four |
—
|
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: four | Statement: [Mark 39 nuclear bomb, numberOfSafetyDevices, four]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSafetyDevices Context triple: [Mark 39 nuclear bomb, numberOfSafetyDevices, four]
-
A.
measuresSafetyUsing
Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
-
B.
usesSafetySystemsFrom
Indicates that one entity employs or relies on the safety systems that originate from or are provided by another entity.
-
C.
safetyEquipment
Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
-
D.
safetyCategory
Indicates the classification of something according to its level or type of safety.
-
E.
safetyCapacity
Indicates the maximum level or amount at which something can operate or be used while still remaining within safe limits.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0332a08b48819094aaed6e04a36886 |
completed | May 12, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_6a0331998a688190b5d919697d4231ac |
completed | May 12, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_6a03329fbbb0819099840a6a011eb411 |
completed | May 12, 2026, 2:01 p.m. |
Created at: May 1, 2026, 1:40 a.m.