Triple
T38330481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry DeWolf-class |
E1037807
|
entity |
| Predicate | fourthShip |
P47773
|
FINISHED |
| Object | HMCS William Hall |
—
|
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 William Hall | Statement: [Harry DeWolf-class, fourthShip, HMCS William Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthShip Context triple: [Harry DeWolf-class, fourthShip, HMCS William Hall]
-
A.
fourthShipRenamedAs
Indicates that a ship, specifically the fourth in a sequence or context, has had its name changed to another designated name.
-
B.
fourthBoat
chosen
Indicates that an entity is the fourth boat in an ordered sequence or ranking of boats.
-
C.
fifthShip
Indicates that an entity is the fifth ship in an ordered sequence or ranking of ships.
-
D.
notableVictimShip
Indicates that a ship is recognized as a particularly significant or noteworthy victim in a specific incident or context.
-
E.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:30 p.m.