Triple
T19278452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kii-class battleship |
E482118
|
entity |
| Predicate | neverLaidDown |
P135415
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kii-class battleship, neverLaidDown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neverLaidDown Context triple: [Kii-class battleship, neverLaidDown, true]
-
A.
neverDrained
Indicates that the entity has not been emptied, exhausted, or depleted at any time in the relevant context or period.
-
B.
laidDown
Indicates that an entity places or sets another entity down into a resting or horizontal position.
-
C.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
-
D.
lieAlong
Indicates that one object or feature is positioned adjacent to and extending in roughly the same direction as another.
-
E.
firstLaidDown
Indicates that one entity was the earliest to establish, formulate, or introduce another entity (such as a rule, idea, or structure).
- F. None of above. chosen
Provenance (4 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbe6e9c8190a7fa2ef3aa598e6c |
completed | April 20, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:30 p.m.