Triple
T33532485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Defender (D36) |
E858831
|
entity |
| Predicate | isWarshipOf |
P177076
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [HMS Defender (D36), isWarshipOf, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWarshipOf Context triple: [HMS Defender (D36), isWarshipOf, United Kingdom]
-
A.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
-
B.
warshipTypeUsed
Indicates that a particular type or class of warship is employed or utilized in a given context, event, or operation.
-
C.
FrenchShipType
Indicates that something is classified as a type of ship associated with France, such as by origin, design, or service.
-
D.
commissionedShip
Indicates that a ship has been formally placed into active service, typically following its construction or acquisition.
-
E.
BritishShipType
Indicates that the entity is classified as a type of ship associated with Britain, typically by origin, design, or service.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85ca7c0819098069384b0d1ca6a |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.