Triple
T15540548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nautilus (Fulton submarine) |
E370462
|
entity |
| Predicate | yearOfFirstTrials |
P40315
|
FINISHED |
| Object | 1800 |
—
|
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: 1800 | Statement: [Nautilus (Fulton submarine), yearOfFirstTrials, 1800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstTrials Context triple: [Nautilus (Fulton submarine), yearOfFirstTrials, 1800]
-
A.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
B.
firstAttemptYear
chosen
Indicates the year in which an entity made its first attempt at a particular activity, task, or objective.
-
C.
firstCrewedTestFlightYear
Indicates the calendar year in which an entity conducted its first test flight involving a human crew.
-
D.
firstAchievedInYear
Indicates the year in which something was first accomplished, attained, or realized.
-
E.
historicalPeriodOfFirstUse
Indicates the historical time period during which something was first used or came into use.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04430b5188190a555a3cd4fb0c61c |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:07 a.m.