Triple
T18099291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brett |
E433172
|
entity |
| Predicate | shipFunction |
P130419
|
FINISHED |
| Object | maintenance of ship systems |
—
|
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: maintenance of ship systems | Statement: [Brett, shipFunction, maintenance of ship systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipFunction Context triple: [Brett, shipFunction, maintenance of ship systems]
-
A.
shipCompanion
Indicates that one entity serves as a companion or partner accompanying another entity on a ship or sea voyage.
-
B.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
C.
shipRig
Indicates that one entity is equipped with or configured using the rigging system specified by another entity.
-
D.
shippingFunction
Indicates the method or process by which goods are transported or delivered from a sender to a recipient.
-
E.
shipFeatured
Indicates that a particular ship is highlighted or promoted as a featured item in a given context.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb521448190b97d2b2aa7e4d7e6 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:27 a.m.