Triple
T31704952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 82 destroyer |
E809152
|
entity |
| Predicate | HMSBristolPennantNumber |
P3153
|
FINISHED |
| Object | D23 |
—
|
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: D23 | Statement: [Type 82 destroyer, HMSBristolPennantNumber, D23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HMSBristolPennantNumber Context triple: [Type 82 destroyer, HMSBristolPennantNumber, D23]
-
A.
hullNumber
Indicates the unique identifying number assigned to the hull of a ship or vessel.
-
B.
pennantNumber
chosen
Indicates the identifying pennant number assigned to a ship or naval vessel.
-
C.
RoyalNavyDesignation
Indicates that an entity has been assigned an official designation or identifier by the Royal Navy.
-
D.
BritishShipRate
Indicates that the subject is classified or rated according to the British naval ship rating system (e.g., first-rate, second-rate, etc.).
-
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.
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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:13 p.m.