Triple
T33677888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barracuda-class submarine |
E862809
|
entity |
| Predicate | firstUnitLaunched |
P99233
|
FINISHED |
| Object |
Suffren
Suffren is a French nuclear-powered attack submarine that serves as the lead vessel of the Barracuda class in the French Navy.
|
E1336036
|
NE FINISHED |
How this triple was built (3 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: Suffren | Statement: [Barracuda-class submarine, firstUnitLaunched, Suffren]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Suffren Triple: [Barracuda-class submarine, firstUnitLaunched, Suffren]
Generated description
Suffren is a French nuclear-powered attack submarine that serves as the lead vessel of the Barracuda class in the French Navy.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUnitLaunched Context triple: [Barracuda-class submarine, firstUnitLaunched, Suffren]
-
A.
launchedFirstUnit
chosen
Indicates that one entity initiated and deployed the first unit of something (e.g., product, system, or mission) before any others.
-
B.
firstLaunchedAboard
Indicates that an object or entity was initially launched while being carried on or aboard a specified vehicle, platform, or vessel.
-
C.
firstSuccessfulLaunchDate
Indicates the calendar date on which an entity achieved its first successful launch.
-
D.
commissionedFirstUnit
Indicates that one entity formally brought the first operational unit of another entity into active service or use.
-
E.
firstDeployedIn
Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
- F. None of above.
Provenance (6 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a363c90357c819091eb35fa9eb33780 |
completed | June 20, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_6a3641f3c09c8190a871a689a63fe92e |
completed | June 20, 2026, 7:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a364265a58c8190a0be422f93192cfd |
completed | June 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:43 a.m.