Triple
T24671433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bon Homme Richard |
E610844
|
entity |
| Predicate | shipTypeIntended |
P3141
|
FINISHED |
| Object | aircraft carrier |
—
|
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: aircraft carrier | Statement: [Bon Homme Richard, shipTypeIntended, aircraft carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipTypeIntended Context triple: [Bon Homme Richard, shipTypeIntended, aircraft carrier]
-
A.
shipTypeInvolved
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
-
B.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
C.
shipClass
chosen
Indicates the classification or type category to which a particular ship belongs.
-
D.
vesselTypeServedOn
Indicates the type of vessel on which an entity has served or performed duty.
-
E.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:42 a.m.