Triple
T4267013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongō-class battlecruiser |
E96848
|
entity |
| Predicate | firstShipLaunchYear |
P41753
|
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: [Kongō-class battlecruiser, firstShipLaunchYear, 1912]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShipLaunchYear Context triple: [Kongō-class battlecruiser, firstShipLaunchYear, 1912]
-
A.
originalShipLaunchedIn
chosen
Indicates that an original ship was first launched in a specified year, place, or context.
-
B.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
C.
firstCrewedTestFlightYear
Indicates the calendar year in which an entity conducted its first test flight involving a human crew.
-
D.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
-
E.
firstISSBerthingYear
Indicates the calendar year in which a spacecraft or module first berthed with the International Space Station.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fce710481909d90ed4a3d150fde |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.