Triple
T38575875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Battle of Sirte |
E929398
|
entity |
| Predicate | BritishShipParticipated |
P191213
|
FINISHED |
| Object | HMS Naiad |
—
|
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: HMS Naiad | Statement: [First Battle of Sirte, BritishShipParticipated, HMS Naiad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BritishShipParticipated Context triple: [First Battle of Sirte, BritishShipParticipated, HMS Naiad]
-
A.
BritishShipRate
Indicates that the subject is classified or rated according to the British naval ship rating system (e.g., first-rate, second-rate, etc.).
-
B.
BritishShipType
Indicates that the entity is classified as a type of ship associated with Britain, typically by origin, design, or service.
-
C.
britishShipsLost
Indicates that the subject refers to British ships that were lost, typically through sinking, capture, or destruction, in a particular event or context.
-
D.
EnglishShipsSunkOrCaptured
Indicates that English ships were either sunk or captured as a result of a particular event or action.
-
E.
BritishShipRole
Indicates that an entity serves in a specific role or capacity on or for a British ship.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.