Triple
T13203274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGY |
E314293
|
entity |
| Predicate | firstUsedByShip |
P27625
|
FINISHED |
| Object | 1912 |
—
|
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: 1912 | Statement: [MGY, firstUsedByShip, 1912]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedByShip Context triple: [MGY, firstUsedByShip, 1912]
-
A.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
-
B.
firstUsedBy
chosen
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
-
C.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
D.
originalShipLaunchedIn
Indicates that an original ship was first launched in a specified year, place, or context.
-
E.
firstRecordedTransitByShip
Indicates that the subject is the earliest known instance of traveling or being transported by ship to or through the object location or route.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:17 p.m.