Triple
T12669819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Forward |
E302647
|
entity |
| Predicate | shipSection |
P38891
|
FINISHED |
| Object | forward section |
—
|
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: forward section | Statement: [Ten Forward, shipSection, forward section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipSection Context triple: [Ten Forward, shipSection, forward section]
-
A.
shipDraft
Indicates the depth of a ship’s hull below the waterline, typically representing how deeply the vessel sits in the water.
-
B.
componentShip
chosen
Indicates that one entity is a physical or logical component or part of another entity, such that the whole is composed of or depends on that component.
-
C.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
D.
shipRepresents
Indicates that one entity (typically a ship) serves as a symbol, stand-in, or representation for another entity, concept, or group.
-
E.
shipyardArea
Indicates the total physical area occupied or used by a shipyard for its operations.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.