Triple
T38538104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classe Suffren |
E924753
|
entity |
| Predicate | firstBoatLaunched |
P193330
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Classe Suffren, firstBoatLaunched, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBoatLaunched Context triple: [Classe Suffren, firstBoatLaunched, 2019]
-
A.
firstLaunchedAboard
Indicates that an object or entity was initially launched while being carried on or aboard a specified vehicle, platform, or vessel.
-
B.
vesselLaunched
Indicates that a vessel has been formally set afloat or put into operation at a specific time or place.
-
C.
usedBoatClassForFirstTime
chosen
Indicates that an entity is using a particular class of boat for the first time.
-
D.
originalShipLaunchedIn
Indicates that an original ship was first launched in a specified year, place, or context.
-
E.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.