Triple
T38330482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry DeWolf-class |
E1037807
|
entity |
| Predicate | fifthShip |
P190648
|
FINISHED |
| Object | HMCS Frédérick Rolette |
—
|
NE NERFINISHED |
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: HMCS Frédérick Rolette | Statement: [Harry DeWolf-class, fifthShip, HMCS Frédérick Rolette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifthShip Context triple: [Harry DeWolf-class, fifthShip, HMCS Frédérick Rolette]
-
A.
fifthBoat
Indicates that an entity is the fifth boat in an ordered sequence or arrangement of boats.
-
B.
fifthSatellite
Indicates that one entity is the fifth satellite (e.g., moon or artificial satellite) in an ordered sequence relative to another entity.
-
C.
victoriousShip
Indicates that a ship has won a conflict, battle, or competition against another party.
-
D.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
-
E.
notableVictimShip
Indicates that a ship is recognized as a particularly significant or noteworthy victim in a specific incident or 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.