Triple
T14753994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Indefatigable (1794) |
E346682
|
entity |
| Predicate | gunDeck |
P42389
|
FINISHED |
| Object | main battery of 24-pounder long guns |
—
|
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: main battery of 24-pounder long guns | Statement: [HMS Indefatigable (1794), gunDeck, main battery of 24-pounder long guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunDeck Context triple: [HMS Indefatigable (1794), gunDeck, main battery of 24-pounder long guns]
-
A.
gunDecks
chosen
Indicates that one entity is equipped with, contains, or is associated with the gun decks of another entity, typically referring to the levels or platforms on a vessel where guns are mounted.
-
B.
gunDeckLength
Indicates the length measurement of a vessel’s gun deck, typically from one end of the deck to the other.
-
C.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
-
D.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
E.
hasVehicleDeck
Indicates that something (typically a vessel or structure) includes a dedicated deck or level designed for carrying or transporting vehicles.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.