Triple
T36196858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle between USS Constitution and HMS Java |
E1047150
|
entity |
| Predicate | capturedShipFate |
P152819
|
FINISHED |
| Object | HMS Java burned and sunk after battle |
—
|
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 Java burned and sunk after battle | Statement: [Battle between USS Constitution and HMS Java, capturedShipFate, HMS Java burned and sunk after battle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturedShipFate Context triple: [Battle between USS Constitution and HMS Java, capturedShipFate, HMS Java burned and sunk after battle]
-
A.
capturedShip
Indicates that one party has taken control of another party's ship, typically by force or seizure.
-
B.
capturedShipType
Indicates that one entity has taken possession of another entity’s ship, specifying the type or category of the ship that was captured.
-
C.
shipSankIn
Indicates that a specific ship sank (was lost or submerged) in a particular location or body of water.
-
D.
fateOfDesignatedShip
chosen
Indicates the outcome or final status that befalls a specifically designated ship.
-
E.
dispositionOfShips
Indicates the arrangement, allocation, or positioning of ships relative to a plan, location, or situation.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.